STORM: A NEW AIRBORNE POLARIMETRIC REAL-APERTURE RADAR FOR EARTH OBSERVATIONS

Size: px
Start display at page:

Download "STORM: A NEW AIRBORNE POLARIMETRIC REAL-APERTURE RADAR FOR EARTH OBSERVATIONS"

Transcription

1 STORM: A NEW AIRBORNE POLARIMETRIC REAL-APERTURE RADAR FOR EARTH OBSERVATIONS HAUSER Danièle, T. PODVIN, M. DECHAMBRE, R. VALENTIN, G. CAUDAL, J-F DALOZE CETP-IPSL (CNRS/université de Versailles-Saint-Quentin en Yvelines) Avenue de l Europe, Vélizy, France, hauser@cetp.ipsl.fr 1 INTRODUCTION In the context of increasing interest in polarimetric radar measurements for earth observation, airborne radar systems are useful tools to analyze the polarimetric signature of natural surfaces and to develop and test algorithms. Because SAR (synthetic Aperture Radar Systems) systems are quite expensive to develop and not trivial to use, the use of realaperture radar is interesting. Although they cannot provide radar images of the surface, they can have range resolution of the same order of magnitude as SAR systems (in particular when the Frequency-Modulated-Continuous Wave technique is used) and hence can be used to investigate the polarimetric signature of natural surfaces with a high resolution. Their use is usually flexible since the incidence angle and look angle can be chosen or even made variable. At CETP, the first polarimetric radar developed and used was the RENE radar at X and S-Band [1]. It was designed to be installed on board an helicopter and was mainly devoted to the study of continental surfaces. Since 2001, CETP has developed a new polarimetric radar called STORM (Système de Télédétection pour l Observation par Radar de la Mer) derived from RENE but working at C-Band (5.35 GHz), designed to be installed on an airplane, and mainly devoted to the study of the oceanic surface. It can also be used, however, over continental surfaces. In this presentation, we present the main characteristics of the STORM radar, the calibration procedure and results, and first results over natural surfaces. The first scientific campaign performed with STORM is VALPARESO (VALidation with a Polarimetric Airborne Radar of ENVISAT SAR over the Ocean) which took place in October-November An overview of this campaign and first results are presented in a companion paper ( [2], this conference). 2 PRESENTATION OF THE STORM RADAR STORM combines the characteristics of the mono-polarized C-Band radar RESSAC [3] designed for wave measurements and compatible with an installation on airplane, with the characteristics of the polarimetric radar RENE [1]. STORM has been designed and built in 2000 and 2001 with the support of National Space Agency "CNES", and the French " Institut des Sciences de l'univers". It is compatible with an implementation on the MERLIN-IV airplane of Météo-France [4]. It is operational since October 2001 and has been used for test flights in October 2001, and in the experimental campaign VALPARESO in October-November 2002, in the context of the ASAR ocean wave products validation. The main characteristics of STORM are given in Table 1 and Figure 1 shows the geometry. STORM is a FMCW (Frequency-Modulated-Continuous Wave) radar. The modulation is a saw-tooth shape (linearly increasing frequency) with a mean frequency of 5.35 GHz, a 192 MHz beamwidth, and a 8 ms duration. It is synthesized through a direct numerical synthesis system. The corresponding slant-range resolution is 1.53 m. The electromagnetic wave is successively transmitted in two orthogonal linear polarizations (horizontal and vertical). Because the microwave signal is transmitted continuously, a dual antenna system is necessary with one antenna for transmission, and one for reception. This set of two antennae is mounted in a radome placed under the airplane (Figure 2) and has the capability to rotate over 360 in the horizontal plan. The transmitting antenna is a horn with an orthomode system to switch the polarization of the transmitted electromagnetic wave. The receiving antenna is a plane antenna composed of an array of 4 x 10 couples of crossed-dipoles designed for receiving H and V polarizations. simultaneously. The 3 db beamwidth of the transmitting antenna is large (50 x 50 ), so that the 2-ways equivalent beam-width (30 x7.5 ) is not very different from that of the transmitting antenna (33 x7.5 ). A large beamwidth in elevation and azimuth was chosen, because of the geophysical applications (see Hauser et al, this conference). For financial reason, the antenna has not been specifically designed for STORM but we have chosen to use a pre-existing antenna developed for the airborne SAR of CNES. The antenna incidence was fixed to 20 (with respect to nadir). This mean incidence value, combined with the large beam aperture of (33 x7.5 ), and the use of a rotating system to scan over 360 in azimuth, is compatible with the principle used to estimate the directional wave spectrum and the wind (see [2], this conference) from the backscatter coefficient. The rotation system of the antenna has been changed with respect

2 to the RESSAC system. Instead of using a continuous clockwise rotation (as for the RESSAC radar), a system has been installed for a rotation over 360 alternatively clockwise and counterclockwise. This was chosen to avoid the use of double-channel rotary joints which have poor performances for polarimetric applications. The rotation speed is 3 rotations per minute. Isolation between polarization is better than 30 db for the transmitting antenna, and 40 db for the receiving antenna. Isolation between transmitting and receiving in the co-polar condition is better than 70 db. The receiving chain is designed for a simultaneous reception in H and V. The microwave received signal and the transmitted one are supplied to a mixer and low-pass filter to obtain a resulting video signal at Intermediate Frequency (IF). Table 1: Main characteristics of the STORM radar Microwave characteristics Type Mean Frequency FM/CW, bandwidth FM/CW repetition period Range Resolution Transmitted power Emitting alternatively in H and V (each 8 ms) Receiving simultaneously in H and V FM/CW GHz 192 MHz 8 ms 1.53 m 2 Watts Antenna 3 db beamwidth of the transmitting antenna (H or V ) 50 x 50 3 db beamwidth of the receiving antenna (H and V) 33 x 7.5 Cross-polarization isolation better than 30 db Isolation between transmission and reception better than 70 db Geometry 2 ways Beam Aperture 30 x 7.5 Mean incidence 20 Azimuth looking angle: scans over 360 Typical flight altitude 2000 to 3000 m H= 2000 to 3000m x z Φ Scan over m Incidence range from 5 to 35 y Y (azimuth) X(elevation) Look direction Figure 1: Geometry of observations with STORM. The flight level is usually between 2000 and 3000 m. corresponding to footprint sizes of (1200m x 280m) to Processing and Recording Video signal digitzed at a frequency of 2 MHz On 8192 samples Real-time FFT providing Complex spectra (Real + Imaginary parts) if no integration (1 sample each 8 ms) 4096 points Amplitude spectra if integration (8 samples) 4096 points Recording of the complex or amplitude spectra on 1024 points Ancillary data roll, pitch, drift, speed of aircraft, time, (1800 m x 420 m). Figure 2: Photo of the MERLIN-IV, with the radome protecting the STORM antenna visible under the airplane The real-time processing and recording is performed by using a Hewlett Packard-VXI system. The video signal obtained in IF over a 1 MHz bandwidth is digitized over a ms interval with a sampling frequency of 2 MHz, providing time series over 8192 samples. A FFT is then applied in real time to obtain a complex signal defined over 4096 points with a 244 Hz resolution. In order to limit the data recording rate, only part of the spectral components is recorded. So, the raw data recorded by the computer (on disks) is composed of the real and imaginary parts for 1024 frequency bins covering a frequency range of about 250 KHz, compatible with the range in distance to be analyzed for a to 3000 m flight level. The smallest recorded frequency is chosen by the operator, according to the flight level. No real-time integration is performed on the data in order to permit a post-processing in a polarimetric chain including all necessary corrections and adequate temporal average. Data recorded each 8 ms also include ancillary information which are necessary for the post-processing (pitch, roll, drift, speed of the aircraft, clock, ). The overall dynamic range of the received power spectrum signal is 80 db. To use the data in a full polarimetric mode a great care must be taken on the measurement of the phase of the signal. It was checked that the phase noise corresponds

3 to an accuracy of ±2 on the phase (without antenna). It was also checked that the rotation of the cables during the scanning of the antenna does not introduce fluctuations of phase incompatible with a polarimetric processing. 3 CALIBRATION PROCEDURE AN RESULTS 3.1 Principle and Notations Taking into account the power budget equation, and neglecting the effects of cross-coupling between vertical and horizontal receiver channels, the received signal written in a matrix form [Z] is related to the scattering matrix [S] of the natural or artificial scatter (see, [1]) through: ( ) [ Z]= Ae jθ e j ( φ t,v + φ r, v ) G e h G r h S hh e j φ t + φ r G e v G r h f t S hv e jφ r G e h G r v f r S vh e jφ t G e v G r (1) v f t f r S vv where A is a constant, S hh, S vv, S hv, and S vh are the elements of the scattering matrix [S], G ip is the gain where subscript i stands for reception (r) or transmission (t), subscript p for polarization (H or V), θ is the phase shift of the signal due to propagation in the atmosphere, φ i,p is the phase shift due to scattering and to the radar system (same subscript convention as for G ip ), f t and f r are coefficients to account for imbalance between the H and V channels in transmission and reception, respectively. Studying the polarimetric response of a natural surface, requires to use Eq. (1), in which the f t and f r and phases must be fixed. In fact, only relative phases (difference of phases are needed) so that the parameters to be determined by the calibration procedure are f t and f r, φ t and φ r where φ t =φ t,h -φ t,v and φ r =φ r,h -φ r,v. 3.2 Calibration procedure Part of the calibration procedure of STORM is based on laboratory measurements using an optic delay-line integrated in the radar system and a noise signal, but the full calibration (in particular for the polarimetric aspects) requires measurements over artificial targets. A combination of trihedral and a dihedral corner reflectors (see [5], [1]) enables the determination of the phase differences φ t and φ r and imbalance terms f t and f r. Indeed for a trihedral reflector, and assuming a perfect isolation between radar channels, the radar signal is backscattered only in co-polarized channels (terms of matrix [S] are S hh =S vv =1; S hv =S vh =0 ), the measured phase difference φ vv - φ hh is equal to (-φ t -φ r ) and the ratio of Z vv / Z hh is equal to the product f t f r. Similarly, for a dihedral reflector tilted at 45 from the horizontal plane, the signal is backscattered only in the cross-polarized channels (terms of matrix [S] are S hh =S vv =0; S hv =S vh =1), φ vh - φ hv is equal to (φ t -φ r ) and Z vh / Z hv is equal to the ratio f r /f t. In addition to the phase calibration needed for the polarimetric mode, standard calibration in amplitude for co-polarized (HH, VV) and cross-polarized (HV) signal are also performed, using internal calibration (delay line, noise source) and external calibration using the corner reflectors. Antenna pattern measurements were also performed in laboratory for all polarimetric configurations, and taking into account the effects of the radome installed to protect the antenna below the airplane. Measurements over corner reflectors have been performed three times since STORM is operational. The procedure was to fly over 5 trihedral and 1 dihedral corner reflectors installed on a aircraft runway. Figure 3a-c shows these corner reflectors and Fig 3c shows how they were installed on the runway. All the reflectors were installed in such a way that for each radar measurement and for the optimal flight-altitude (450 m) all of them are included in the radar footprint. When positioning the antenna in the forward direction (parallel to the aircraft), this allows to measure the corner reflectors response at different incidence angles at the same time. The use of several reflectors is also needed to ensure that at least one of them is close to the center of the beam in azimuth.

4 T T T 10 m Figure 3a: Trihedral reflector Figure 3b: Dihedral reflector T D T T = trihedral reflector, D= Diedral reflector Figure 3c: Installation scheme of the dihedral and trihedral reflectors 3.3 Calibration results for amplitude analysis Estimation of the receiver gain from the internal calibration showed that the two receiving channels (for H and V polarization) are well-balanced with only a 0.2 db difference in gain. The stability of the gain was checked by performing long-term measurements (using a known noise source). Gain variations due to temperature variation of the system were found to be less than 1 db over a 2 to 3 hours flight. Measurements over the corner reflectors were processed to estimate the radar cross-section of the reflectors an check the overall gain of the radar. In HH polarization, the estimated radar cross-section using the gain values from the internal calibration, ranges from 32.4 to 32.8 dbm 2 in HH, 32.1 to 32.5 in VV and 36.5 to 36.7 in HV. Taking into account the uncertainty of such measurements due to the difficulty of alignment of the radar beam with the reflectors, this is quite consistent with the theoretical expected values (32.5 dbm 2 in HH and VV, 36 dbm 2 in HV). This validates the internal calibration. The antenna gain pattern in elevation for HH and VV could also be partly checked from the flights over the trihedral reflectors by combining the radar cross-section of the reflectors at different elevation angles. Figure 4a shows an example for one of the pass over the reflectors. This pattern is quite consistent with the antenna pattern measured in laboratory. (Figure 4b) Antenna gain pattern from laboratory measurements (combination transmission/reception) 2 0 Figure 4a : Antenna gain pattern in elevation and in VV polarization from the STORM measurements over the trihedral reflectors, Angles along the x-axis are relative to the mean incidence angle and values in the y-axis refer to radar cross-section Gain (db) HH VV HV VH Elevation angle ( ) Figure 4b :Two-way antenna gain pattern in elevation from laboratory measurements (in VV, HH, HV, VH)

5 3.4 Calibration for polarimetric analysis Laboratory measurements have shown that the phase variation rate of each reception channel is less than 0.1 by second, due to variability of the local oscillator that generates the microwave transmission. This variation is quite negligible with respect to the time difference between two chirps (8 ms). Phase noise also estimated from laboratory measurements (with a delay line) indicated an standard deviation value of about 2. Histograms of φ vv - φ hh and φ vh - φ hv have been obtained from the flights over the corner reflectors (respectively trihedral and dihedral). Note that interpolation in time has been applied on one of the channels because transmission in H and V are not simultaneous. Fig 5a shows the results for one pass over the trihedral reflector (on 8 October 2002). In this case, the data come from the signal backscattered from 5 trihedral reflectors and all the range points located within the 3dB beamwidth have been kept to compute this histogram. The histogram shows a double peak (with an ambiguity of 180 ). This ambiguity is attributed to the interpolation process that has been applied to compensate for the time separation between to consecutive transmissions in H and V polarization. The mean and median values of φ vv - φ hh (calculated between 0 and 180 ) are very close (46.0±180 and 45.6±180 ) indicating that the histogram is close to symmetrical. The standard deviation is small (13 ). When plotting φ vv - φ hh as a function of incidence angle (not shown) we could check that φ vv - φ hh decreases slowly by less than 20 with incidence angle within the 3 db beam-width. Fig 5b shows the results obtained for one pass over the dihedral reflector. In this case, the number of data points is less than for the trihedral reflectors, because only one reflector was deployed and because the response of the dihedral reflector is seen only for a very strict conditions (when it is close to the center of the beam). Here again the histogram has a double-peak signature (180 ambiguity) due to the interpolation procedure. The shape of the histogram is less clear than in the case of the trihedral data, due to the small number of points. However, we could establish that the mean of the histogram is 84±180 with a standard deviation of 44. Figure 5a : Histogram of the phase difference between HH and VV polarized signals masure over the triehdral corner reflectors on October 8th, 2002 Figure 5b : Histogram of the phase difference between HV and VH polarized signals measured over the dihedral corner reflector on October 8th, 2002 Results very close to those presented in Fig 5a-b were found for the other passes on the same day performed in optimal conditions (good alignments with the reflectors): for the calibration flight of 8 October 2002 (3 passes in optimal conditions), mean values of φ vv - φ hh range from 46 to 47 with a standard deviation (std) of less than 14, and mean values of φ vh - φ hv range (for 3 passes) from 83 to 86 with a standard deviation of 41 to 44. When the calibration flight was repeated 1.5 month later (28 November 2002) after the VALAPRESO experiment, we found slightly different values: φ vv - φ hh range from 65 to 66 with a standard deviation less than 13 and φ vh - φ hv range from 86 to 95 (std 45 ). But with the delay line and the internal calibration, we did not find any evolution in these phase differences. This shows that phase shifts may appear, due to antenna or wires evolution. It also indicates that calibration flights must be repeated to follow the potential shifts of the phase during an experiment. From the trihedral and dihedral data analysis, we could check that f t and f r are values close to 1 (as expected for well balanced channels). Indeed we found (from the 8 October flight), Z vv / Z hh varying from 0.95 to 0.98 and Z vh / Z hv varying from 1.06 to The associated values of ft and fr are to 1.03 and 0.95, respectively. 4 RESULTS ON DISTRIBUTED SCATTERS

6 During the first test flights of STORM (October 2001) measurements have been performed with flights over various natural surfaces (grass, forest, ciment runway) with the aim to further validate the STORM radar and to provide an additional way of polarimetric calibration. Indeed, as proposed by [6] and also used by [1] with our RENE radar, the properties of some natural surface (in particular grass) can be used to estimate the coefficients needed in Eq.(1) to calculate the scattering matrix. We present hereafter results on phase distributions obtained with flights over a grass terrain. In the second part of this section we will also show preliminary results on phase distributions over ocean surface obtained during the VALPARESO experiment (October-November 2002) and will show that they significantly differ from what is observed over grass. 4.1 Phase distributions over grass Flight were performed at 300 and 450 altitude over a grass airfield. Two flight configurations have been chosen. In the first one the antenna was pointing forward (along the flight track). In the second one, the antenna was pointing on one side (perpendicular to the flight track). In all cases, it was checked that the entire footprint was included within this grass area. Figure 6 shows the distribution of φ vv - φ hh and φ vh - φ hv obtained for a flight at 300 m altitude with the antenna pointing forward, and for range points included in the 3 db beam-width. It is clear that these distributions are well peaked with two peaks separated by 180. The presence of these two peaks is again explained, as in the case of the analysis over corner reflectors by the interpolation procedure to account for non-simultaneous transmission in H and V polarization. It is important to note that the peak of the histograms is very close to the one obtained the same day over corner reflectors (see arrows in Fig. 6.). This shows the possibility to estimate the phase coefficients in Eq.(1) from observations over natural surfaces. At it was shown that f t and f r are very close to 1, this procedure may be sufficient for the complete calibration of the polarimetric radar. Results obtained from other flights on the same day or the day after over the same area show very similar results in the same configuration (same altitude, same antenna pointing). Changing the altitude (450 m instead of 300 m) also gives the same results. On the contrary, for the flights performed with the antenna pointing on the side of the aircraft, the distribution of φ vv - φ hh and φ vh - φ hv are almost uniform (not shown). We do not have a clear explanation of this fact but we just note that similar measurements with the RENE radar on-board an helicopter gave consistent results with a side-looking antenna [2]. The difference with the present case is the slower speed of the platform (30 to 40 m s -1 for helicopter against about 80 to 90 m s -1 for aircraft). In the present case, it is possible that for the side-looking case, the lateral displacement of the antenna beam (perpendicular to the elevation direction) between successive pulses transmitted in orthogonal polarization (separated by 8 s) is too large to combine signals from successive pulses. 4.2 Phase distribution over the ocean During the VALPARESO experiment, flights were performed in 3 different modes over the ocean (see [2]). The results presented here-after correspond to observations performed at a flight level around 2000 m with the antenna rotating over 360 in azimuth (at a rate of 3 rotations per minute) and the aircraft flying in strait line (no imposed roll). The radar data were recorded each 8 ms as complex values (amplitude, phase). Compared to most of the continental surfaces, the sea surface is rather smooth, which leads to a moderate depolarization. Indeed we measured cross-polarized backscattering coefficients about 20 db smaller than the copolarized ones. Due to this fact, the signal to noise ratio is not very high and the polarimetric analysis can only be performed over a limited range of incidence angles. The data are still in processing and we present hereafter only very preliminary results concerning phase histograms. Radar cross-section at different polarization configurations are shown in [2]. Figure 7 shows histograms of φ vv - φ hh, φ vh - φ hv, φ hh - φ hv, φ vv - φ vh for range points close to the mean incidence angle (20 ), where the signal-to noise ratio is larger than 10 db even in HV polarization, and for 1850 samples covering a complete scan of the antenna over 360 in azimuth. As for the processing of the data over corner reflectors, we applied here a phase interpolation to estimate φ vv - φ hh, φ vh - φ hv to account for the time separation (8 ms) between transmissions in H and V polarization. As shows Fig7, the histograms of φ vv - φ hh, φ vh - φ hv are much broader than in the case of corner reflectors (see above) or in the case of observations over grass. Two peaks separated by 180 also seem to exist but this is less clear than in the cases of grass or corner reflectors. In contrast, histograms of φ hh - φ hv, φ vv - φ vh show a clear peaked distribution with mean values of about 90 and 60 respectively. This first analysis did not show a clear variation of these histograms when restricting the data to particular azimuth look angle.

7 Figure 6: Histograms of phase difference (curves in a polar representation) from STORM measurements over a grass runway(airfield at a flight altitude of 300 m and when the antenna was pointing parallel to the flight track.). Data analyzed here correspond to range points located within the 3 db beam-width. The two arrows indicate the position of the peak of the histograms found from corner reflectors measurements during the same experiment Figure 7 : Histograms of phase difference from STORM measurements over the ocean. Data analyzed here correspond to incidence angles from about 19 to 21 and to data collected over a complete rotation of the antenna. To go further in the analysis, we plan to calculate the different terms of the matrix of conjugate products as proposed by Yueh [7, 8]. The terms of these matrix M are given below and can be obtained from the measured signal by calculating mean complex terms after geometric corrections are applied to replace the measurements in a frame associated with the surface and not with the antenna plane; S S * S S * S hh hh vv hh hv S * hh M = S S * S S * S S * hh vv vv vv hv vv S S * S S * S S * hh hv vv hv hv hv where each element is the average value of conjugate products. These conjugate products describe the correlation between co-polarized and cross-polarized responses. Averaging in space and/or time is necessary to decrease the statistical uncertainty due to thermal noise and speckle. The averaging process (indicated by the < > symbol in Eq.(2)) will be applied typically on 16 to 32 successive samples corresponding to time intervals of about 128 to 256 ms. This time interval is a trade-off between the necessity to increase the number of independent samples in the estimate (decrease the statistical uncertainty) and the necessity to use data of mean constant. With the antenna rotation speed of 3 rotations per minute, this corresponds to an azimuth angle variation of 0.4 to 0.8. The three terms of the diagonal of this matrix are real, and related through the radar power budget equation, to the normalized radar cross-section in HH, VV and HV polarization, respectively. The other terms have a real and an imaginary part, and they can be used to study the cross polarization correlations [8]. Other formulations have been proposed to study the polarimetric signature of the ocean surface, using the Mueller matrix or the Graves matrix (see e.g. [9]). In each case, the elements of these matrices can be derived from the coefficients of the S matrix (Eq.2), and an appropriate averaging process. 5 CONCLUSION (2)

8 The first results obtained with the new airborne polarimetric radar STORM have been presented here. We recall here that STORM is a C-Band real-aperture FM/CW radar with an antenna which has the capability to scan in azimuth. The results show that STORM works well. Calibration over corner reflectors give consistent and reproductible results (as far as no change in the wires or radar installation occur). It also shows that imbalance between channels is weak. Measurements over natural surface have provided consistent phase distributions over grass when the antenna was pointing in the direction of flight but inconsistent phase distributions (uniform distribution) when it was pointing in the perpendicular direction. This problem has still to be analyzed. Phase distributions over the ocean seem to contain information (not uniform distributions), but differ significantly from results over grass terrain. This was already mentioned by [1]. To go further in the analysis over the ocean, it is now necessary to analyze the terms of coherence or co-variance matrixes as proposed by several authors. Results on radar-cross-section over the ocean in different polarization configurations are presented in a companion paper [2]. 6 REFERENCES [1] Leloch-Duplex N., D. Vidal- Madjar, and J-P. Hardange, "On the calibration of the helicopterborne polarimetric radar RENE", Annales of Telecommunications, 51, no5-6, , 1996 [2] Hauser D., T. Podvin, M. Dechambre, G. Caudal, A Mouche, J-F Daloze, Polarimetric measurements over the seasurface with the airborne STORM radar in the context of the geophysical validation of the ENVISAT ASAR, this conference, (POLINSAR, ESA, Frascati,(It), 2003) [3] Hauser, D., G. Caudal, G.J. Rijckenberg, D. Vidal-Madjar, G. Laurent, and P. Lancelin, "RESSAC: A new airborne FM/CW radar ocean wave spectrometer", IEEE Trans. Geosci. Remote Sensing, 30 (5), , [4] Chalon J-P., André M., Brenguier J-L., Druilhet A., Gayet J-F., Flamant P., Guillemet B., Hauser D., Kerr Y., Pelon J., Ravaut M., Tanré D., "Les avions Français de recherche atmosphérique et de télédétection: bilan et perspectives," La Météorologie, 8è série, N 22, 14-44, juin 1998 [5] Sarabandi K., F.T. Ulaby, M.A. Tassoudji, Polarimetric SAR calibration radar systems with good polarization isolation. IEEE Trans on GRS (1990) 8 n 1 pp70_ [6]Freeman A., Van Zyl J.J., Klein J.D., H.A. Zebker, Y. Shen, Calibration of Stokes and scattering matrix for polarimetric data, IEEE Trans. On Geosc. And Reomte Sensing, 30, , 1992 [7] Yueh S.H., R. Kwok, and S. V. Nghiem, "Polarimetric scattering and emission properties of targets with reflection symmetry", Radio Science, Vol. 29, n 6, , 1994 [8] Yueh S.H., S.V. Nghiem, and R. Kwok, "Comparison of a polarimetric scattering and emission model with ocean backscatter and brightness temperature", Proceedings of IGARSS'94, CD-ROM, IEEE Editor, [9] Bahar E., and X. Shi, "The identification of sea swell using polarimetric radars: a new full wave approach", Int. J. Remote Sensing, Vol 19 No 11, , 1998.

POLARIMETRIC MEASUREMENTS OVER THE SEA-SURFACE WITH THE AIRBORNE STORM RADAR IN THE CONTEXT OF THE GEOPHYSICAL VALIDATION OF THE ENVISAT ASAR

POLARIMETRIC MEASUREMENTS OVER THE SEA-SURFACE WITH THE AIRBORNE STORM RADAR IN THE CONTEXT OF THE GEOPHYSICAL VALIDATION OF THE ENVISAT ASAR POLARIMETRIC MEASUREMENTS OVER THE SEA-SURFACE WITH THE AIRBORNE STORM RADAR IN THE CONTEXT OF THE GEOPHYSICAL VALIDATION OF THE ENVISAT ASAR HAUSER Danièle, T. PODVIN, M. DECHAMBRE, G. CAUDAL, A MOUCHE,

More information

Microwave Remote Sensing (1)

Microwave Remote Sensing (1) Microwave Remote Sensing (1) Microwave sensing encompasses both active and passive forms of remote sensing. The microwave portion of the spectrum covers the range from approximately 1cm to 1m in wavelength.

More information

THE NASA/JPL AIRBORNE SYNTHETIC APERTURE RADAR SYSTEM. Yunling Lou, Yunjin Kim, and Jakob van Zyl

THE NASA/JPL AIRBORNE SYNTHETIC APERTURE RADAR SYSTEM. Yunling Lou, Yunjin Kim, and Jakob van Zyl THE NASA/JPL AIRBORNE SYNTHETIC APERTURE RADAR SYSTEM Yunling Lou, Yunjin Kim, and Jakob van Zyl Jet Propulsion Laboratory California Institute of Technology 4800 Oak Grove Drive, MS 300-243 Pasadena,

More information

Study of Polarimetric Calibration for Circularly Polarized Synthetic Aperture Radar

Study of Polarimetric Calibration for Circularly Polarized Synthetic Aperture Radar Study of Polarimetric Calibration for Circularly Polarized Synthetic Aperture Radar 2016.09.07 CEOS WORKSHOP 2016 Yuta Izumi, Sevket Demirci, Mohd Zafri Baharuddin, and Josaphat Tetuko Sri Sumantyo JOSAPHAT

More information

SHIP DETECTION AND SEA CLUTTER CHARACTERISATION USING X&L BAND FULL-POLARIMETRIC AIRBORNE SAR DATA

SHIP DETECTION AND SEA CLUTTER CHARACTERISATION USING X&L BAND FULL-POLARIMETRIC AIRBORNE SAR DATA SHIP DETECTION AND SEA CLUTTER CHARACTERISATION USING X&L BAND FULL-POLARIMETRIC AIRBORNE SAR DATA S. Angelliaume, Ph. Martineau (ONERA) Ph. Durand, T. Cussac (CNES) Context CNES/ONERA study of Space System

More information

Detection of Multipath Propagation Effects in SAR-Tomography with MIMO Modes

Detection of Multipath Propagation Effects in SAR-Tomography with MIMO Modes Detection of Multipath Propagation Effects in SAR-Tomography with MIMO Modes Tobias Rommel, German Aerospace Centre (DLR), tobias.rommel@dlr.de, Germany Gerhard Krieger, German Aerospace Centre (DLR),

More information

Introduction Active microwave Radar

Introduction Active microwave Radar RADAR Imaging Introduction 2 Introduction Active microwave Radar Passive remote sensing systems record electromagnetic energy that was reflected or emitted from the surface of the Earth. There are also

More information

Acknowledgment. Process of Atmospheric Radiation. Atmospheric Transmittance. Microwaves used by Radar GMAT Principles of Remote Sensing

Acknowledgment. Process of Atmospheric Radiation. Atmospheric Transmittance. Microwaves used by Radar GMAT Principles of Remote Sensing GMAT 9600 Principles of Remote Sensing Week 4 Radar Background & Surface Interactions Acknowledgment Mike Chang Natural Resources Canada Process of Atmospheric Radiation Dr. Linlin Ge and Prof Bruce Forster

More information

Radar Imaging Wavelengths

Radar Imaging Wavelengths A Basic Introduction to Radar Remote Sensing ~~~~~~~~~~ Rev. Ronald J. Wasowski, C.S.C. Associate Professor of Environmental Science University of Portland Portland, Oregon 3 November 2015 Radar Imaging

More information

Synthetic Aperture Radar

Synthetic Aperture Radar Synthetic Aperture Radar Picture 1: Radar silhouette of a ship, produced with the ISAR-Processor of the Ocean Master A Synthetic Aperture Radar (SAR), or SAR, is a coherent mostly airborne or spaceborne

More information

Introduction to Microwave Remote Sensing

Introduction to Microwave Remote Sensing Introduction to Microwave Remote Sensing lain H. Woodhouse The University of Edinburgh Scotland Taylor & Francis Taylor & Francis Group Boca Raton London New York A CRC title, part of the Taylor & Francis

More information

Towards a Polarimetric SAR Processor for Airborne Sensor

Towards a Polarimetric SAR Processor for Airborne Sensor PIERS ONLINE, VOL. 6, NO. 5, 2010 465 Towards a Polarimetric SAR Processor for Airborne Sensor H. M. J. Cantalloube 1, B. Fromentin-Denoziere 1, and C. E. Nahum 2 1 ONERA (Office National d Études et Recherches

More information

Towards a polarimetric SAR processor for airborne sensor

Towards a polarimetric SAR processor for airborne sensor 1 Towards a polarimetric SAR processor for airborne sensor H. M.J. Cantalloube 1, B. Fromentin-Denoziere 1, and C. E. Nahum 2 1 ONERA (Office National d Études et Recherches Aérospatiales) Palaiseau, France

More information

ACTIVE SENSORS RADAR

ACTIVE SENSORS RADAR ACTIVE SENSORS RADAR RADAR LiDAR: Light Detection And Ranging RADAR: RAdio Detection And Ranging SONAR: SOund Navigation And Ranging Used to image the ocean floor (produce bathymetic maps) and detect objects

More information

Remote Sensing. Ch. 3 Microwaves (Part 1 of 2)

Remote Sensing. Ch. 3 Microwaves (Part 1 of 2) Remote Sensing Ch. 3 Microwaves (Part 1 of 2) 3.1 Introduction 3.2 Radar Basics 3.3 Viewing Geometry and Spatial Resolution 3.4 Radar Image Distortions 3.1 Introduction Microwave (1cm to 1m in wavelength)

More information

High Resolution W-Band Radar Detection and Characterization of Aircraft Wake Vortices in Precipitation. Thomas A. Seliga and James B.

High Resolution W-Band Radar Detection and Characterization of Aircraft Wake Vortices in Precipitation. Thomas A. Seliga and James B. High Resolution W-Band Radar Detection and Characterization of Aircraft Wake Vortices in Precipitation Thomas A. Seliga and James B. Mead 4L 4R 4L/22R 4R/22L W-Band Radar Site The W-Band Radar System

More information

KuROS: A new airborne Ku-band Doppler radar for observation of the ocean surface

KuROS: A new airborne Ku-band Doppler radar for observation of the ocean surface KuROS: A new airborne Ku-band Doppler radar for observation of the ocean surface Danièle Hauser, Gérard Caudal, Christophe Le Gac, René Valentin, Lauriane Delaye, Céline Tison To cite this version: Danièle

More information

Synthetic aperture RADAR (SAR) principles/instruments October 31, 2018

Synthetic aperture RADAR (SAR) principles/instruments October 31, 2018 GEOL 1460/2461 Ramsey Introduction to Remote Sensing Fall, 2018 Synthetic aperture RADAR (SAR) principles/instruments October 31, 2018 I. Reminder: Upcoming Dates lab #2 reports due by the start of next

More information

Prototype Software-based Receiver for Remote Sensing using Reflected GPS Signals. Dinesh Manandhar The University of Tokyo

Prototype Software-based Receiver for Remote Sensing using Reflected GPS Signals. Dinesh Manandhar The University of Tokyo Prototype Software-based Receiver for Remote Sensing using Reflected GPS Signals Dinesh Manandhar The University of Tokyo dinesh@qzss.org 1 Contents Background Remote Sensing Capability System Architecture

More information

Full Polarimetric THz Imaging System in Comparison with Infrared Thermography

Full Polarimetric THz Imaging System in Comparison with Infrared Thermography 11th European Conference on Non-Destructive Testing (ECNDT 2014), October 6-10, 2014, Prague, Czech Republic More Info at Open Access Database www.ndt.net/?id=16556 Full Polarimetric THz Imaging System

More information

Rec. ITU-R P RECOMMENDATION ITU-R P *

Rec. ITU-R P RECOMMENDATION ITU-R P * Rec. ITU-R P.682-1 1 RECOMMENDATION ITU-R P.682-1 * PROPAGATION DATA REQUIRED FOR THE DESIGN OF EARTH-SPACE AERONAUTICAL MOBILE TELECOMMUNICATION SYSTEMS (Question ITU-R 207/3) Rec. 682-1 (1990-1992) The

More information

Broadband Temporal Coherence Results From the June 2003 Panama City Coherence Experiments

Broadband Temporal Coherence Results From the June 2003 Panama City Coherence Experiments Broadband Temporal Coherence Results From the June 2003 Panama City Coherence Experiments H. Chandler*, E. Kennedy*, R. Meredith*, R. Goodman**, S. Stanic* *Code 7184, Naval Research Laboratory Stennis

More information

SCATTERING POLARIMETRY PART 1. Dr. A. Bhattacharya (Slide courtesy Prof. E. Pottier and Prof. L. Ferro-Famil)

SCATTERING POLARIMETRY PART 1. Dr. A. Bhattacharya (Slide courtesy Prof. E. Pottier and Prof. L. Ferro-Famil) SCATTERING POLARIMETRY PART 1 Dr. A. Bhattacharya (Slide courtesy Prof. E. Pottier and Prof. L. Ferro-Famil) 2 That s how it looks! Wave Polarisation An electromagnetic (EM) plane wave has time-varying

More information

High Precision Antenna Characterisation for Broadband Synthetic Aperture Radar Processing

High Precision Antenna Characterisation for Broadband Synthetic Aperture Radar Processing High Precision Antenna Characterisation for Broadband Synthetic Aperture Radar Processing Marc Jäger, Bernd Gabler, Andreas Reigber Microwaves and Radar Institute, Department of SAR Technology, German

More information

EE 529 Remote Sensing Techniques. Introduction

EE 529 Remote Sensing Techniques. Introduction EE 529 Remote Sensing Techniques Introduction Course Contents Radar Imaging Sensors Imaging Sensors Imaging Algorithms Imaging Algorithms Course Contents (Cont( Cont d) Simulated Raw Data y r Processing

More information

TerraSAR-X Calibration Ground Equipment

TerraSAR-X Calibration Ground Equipment 86 Proceedings of WFMN07, Chemnitz, Germany TerraSAR-X Calibration Ground Equipment Björn J. Döring, Marco Schwerdt, Robert Bauer Microwaves and Radar Institute German Aerospace Center (DLR) Oberpfaffenhofen,

More information

DOPPLER RADAR. Doppler Velocities - The Doppler shift. if φ 0 = 0, then φ = 4π. where

DOPPLER RADAR. Doppler Velocities - The Doppler shift. if φ 0 = 0, then φ = 4π. where Q: How does the radar get velocity information on the particles? DOPPLER RADAR Doppler Velocities - The Doppler shift Simple Example: Measures a Doppler shift - change in frequency of radiation due to

More information

ATS 351 Lecture 9 Radar

ATS 351 Lecture 9 Radar ATS 351 Lecture 9 Radar Radio Waves Electromagnetic Waves Consist of an electric field and a magnetic field Polarization: describes the orientation of the electric field. 1 Remote Sensing Passive vs Active

More information

Imaging radar Imaging radars provide map-like coverage to one or both sides of the aircraft.

Imaging radar Imaging radars provide map-like coverage to one or both sides of the aircraft. CEE 6100 / CSS 6600 Remote Sensing Fundamentals 1 Imaging radar Imaging radars provide map-like coverage to one or both sides of the aircraft. Acronyms: RAR real aperture radar ("brute force", "incoherent")

More information

RECOMMENDATION ITU-R SA.1624 *

RECOMMENDATION ITU-R SA.1624 * Rec. ITU-R SA.1624 1 RECOMMENDATION ITU-R SA.1624 * Sharing between the Earth exploration-satellite (passive) and airborne altimeters in the aeronautical radionavigation service in the band 4 200-4 400

More information

Design of an Airborne SLAR Antenna at X-Band

Design of an Airborne SLAR Antenna at X-Band Design of an Airborne SLAR Antenna at X-Band Markus Limbach German Aerospace Center (DLR) Microwaves and Radar Institute Oberpfaffenhofen WFMN 2007, Markus Limbach, Folie 1 Overview Applications of SLAR

More information

Noise generators. Spatial Combining of Multiple Microwave Noise Radiators NOISE ARRAY. This article reports on. experiments to increase the

Noise generators. Spatial Combining of Multiple Microwave Noise Radiators NOISE ARRAY. This article reports on. experiments to increase the From April 2008 High Frequency Electronics Copyright 2008 Summit Technical Media LLC Spatial Combining of Multiple Microwave Noise Radiators By Jiri Polivka Spacek Labs Inc. Noise generators This article

More information

Polarization. Contents. Polarization. Types of Polarization

Polarization. Contents. Polarization. Types of Polarization Contents By Kamran Ahmed Lecture # 7 Antenna polarization of satellite signals Cross polarization discrimination Ionospheric depolarization, rain & ice depolarization The polarization of an electromagnetic

More information

Low frequency SAR data-dome collection with the Bright Sapphire II instrument

Low frequency SAR data-dome collection with the Bright Sapphire II instrument Low frequency SAR data-dome collection with the Bright Sapphire II instrument Specialists meeting on Remote Intelligence of Building Interiors Sam DOODY May 2017 Low Frequency Airborne SAR Justification

More information

China. France Oceanography S A T. Overview of the near-real time wave products of the CFOSAT mission. e l l i t e

China. France Oceanography S A T. Overview of the near-real time wave products of the CFOSAT mission. e l l i t e China Overview of the near-real time wave products of the CFOSAT mission C. Tison (1), D. Hauser (2), S. Guibert (1), T. Amiot (1), L. Aouf (3), J.M. Lefèvre (3), B. Chapron (5), N. Corcoral (1), P. Castillan

More information

DETECTION OF SMALL AIRCRAFT WITH DOPPLER WEATHER RADAR

DETECTION OF SMALL AIRCRAFT WITH DOPPLER WEATHER RADAR DETECTION OF SMALL AIRCRAFT WITH DOPPLER WEATHER RADAR Svetlana Bachmann 1, 2, Victor DeBrunner 3, Dusan Zrnic 2 1 Cooperative Institute for Mesoscale Meteorological Studies, The University of Oklahoma

More information

Space Frequency Coordination Group

Space Frequency Coordination Group Space Frequency Coordination Group Report SFCG 38-1 POTENTIAL RFI TO EESS (ACTIVE) CLOUD PROFILE RADARS IN 94.0-94.1 GHZ FREQUENCY BAND FROM OTHER SERVICES Abstract This new SFCG report analyzes potential

More information

National Center for Atmospheric Research, Boulder, CO 1. INTRODUCTION

National Center for Atmospheric Research, Boulder, CO 1. INTRODUCTION 317 ITIGATION OF RANGE-VELOCITY ABIGUITIES FOR FAST ALTERNATING HORIZONTAL AND VERTICAL TRANSIT RADAR VIA PHASE DING J.C. Hubbert, G. eymaris and. Dixon National Center for Atmospheric Research, Boulder,

More information

GMES Sentinel-1 Transponder Development

GMES Sentinel-1 Transponder Development GMES Sentinel-1 Transponder Development Paul Snoeij Evert Attema Björn Rommen Nicolas Floury Malcolm Davidson ESA/ESTEC, European Space Agency, Noordwijk, The Netherlands Outline 1. GMES Sentinel-1 overview

More information

Sea Surface Backscatter Distortions of Scanning Radar Altimeter Ocean Wave Measurements

Sea Surface Backscatter Distortions of Scanning Radar Altimeter Ocean Wave Measurements Sea Surface Backscatter Distortions of Scanning Radar Altimeter Ocean Wave Measurements Edward J. Walsh and C. Wayne Wright NASA Goddard Space Flight Center Wallops Flight Facility Wallops Island, VA 23337

More information

Characteristics and protection criteria for radars operating in the aeronautical radionavigation service in the frequency band

Characteristics and protection criteria for radars operating in the aeronautical radionavigation service in the frequency band Recommendation ITU-R M.2008 (03/2012) Characteristics and protection criteria for radars operating in the aeronautical radionavigation service in the frequency band 13.25-13.40 GHz M Series Mobile, radiodetermination,

More information

AN OPTIMAL ANTENNA PATTERN SYNTHESIS FOR ACTIVE PHASED ARRAY SAR BASED ON PARTICLE SWARM OPTIMIZATION AND ADAPTIVE WEIGHT- ING FACTOR

AN OPTIMAL ANTENNA PATTERN SYNTHESIS FOR ACTIVE PHASED ARRAY SAR BASED ON PARTICLE SWARM OPTIMIZATION AND ADAPTIVE WEIGHT- ING FACTOR Progress In Electromagnetics Research C, Vol. 10, 129 142, 2009 AN OPTIMAL ANTENNA PATTERN SYNTHESIS FOR ACTIVE PHASED ARRAY SAR BASED ON PARTICLE SWARM OPTIMIZATION AND ADAPTIVE WEIGHT- ING FACTOR S.

More information

ALOS-Indonesia POLinSAR Experiment (AIPEX): First Result*

ALOS-Indonesia POLinSAR Experiment (AIPEX): First Result* ALOS-Indonesia POLinSAR Experiment (AIPEX): First Result* Mahmud Raimadoya(1), Ludmila Zakharova(2), Bambang Trisasongko(1), Nurwadjedi(3) (1) Bogor Agricultural University (IPB), P.O. Box 2049, Bogor

More information

KULLIYYAH OF ENGINEERING

KULLIYYAH OF ENGINEERING KULLIYYAH OF ENGINEERING DEPARTMENT OF ELECTRICAL & COMPUTER ENGINEERING ANTENNA AND WAVE PROPAGATION LABORATORY (ECE 4103) EXPERIMENT NO 3 RADIATION PATTERN AND GAIN CHARACTERISTICS OF THE DISH (PARABOLIC)

More information

Co-ReSyF RA lecture: Vessel detection and oil spill detection

Co-ReSyF RA lecture: Vessel detection and oil spill detection This project has received funding from the European Union s Horizon 2020 Research and Innovation Programme under grant agreement no 687289 Co-ReSyF RA lecture: Vessel detection and oil spill detection

More information

RADAR (RAdio Detection And Ranging)

RADAR (RAdio Detection And Ranging) RADAR (RAdio Detection And Ranging) CLASSIFICATION OF NONPHOTOGRAPHIC REMOTE SENSORS PASSIVE ACTIVE DIGITAL CAMERA THERMAL (e.g. TIMS) VIDEO CAMERA MULTI- SPECTRAL SCANNERS VISIBLE & NIR MICROWAVE Real

More information

Nadir Margins in TerraSAR-X Timing Commanding

Nadir Margins in TerraSAR-X Timing Commanding CEOS SAR Calibration and Validation Workshop 2008 1 Nadir Margins in TerraSAR-X Timing Commanding S. Wollstadt and J. Mittermayer, Member, IEEE Abstract This paper presents an analysis and discussion of

More information

Corresponding author address: Valery Melnikov, 1313 Haley Circle, Norman, OK,

Corresponding author address: Valery Melnikov, 1313 Haley Circle, Norman, OK, 2.7 EVALUATION OF POLARIMETRIC CAPABILITY ON THE RESEARCH WSR-88D Valery M. Melnikov *, Dusan S. Zrnic **, John K. Carter **, Alexander V. Ryzhkov *, Richard J. Doviak ** * - Cooperative Institute for

More information

Synthetic Aperture Radar (SAR) images features clustering using Fuzzy c- means (FCM) clustering algorithm

Synthetic Aperture Radar (SAR) images features clustering using Fuzzy c- means (FCM) clustering algorithm Article Synthetic Aperture Radar (SAR) images features clustering using Fuzzy c- means (FCM) clustering algorithm Rashid Hussain Faculty of Engineering Science and Technology, Hamdard University, Karachi

More information

IMPACT OF BAQ LEVEL ON INSAR PERFORMANCE OF RADARSAT-2 EXTENDED SWATH BEAM MODES

IMPACT OF BAQ LEVEL ON INSAR PERFORMANCE OF RADARSAT-2 EXTENDED SWATH BEAM MODES IMPACT OF BAQ LEVEL ON INSAR PERFORMANCE OF RADARSAT-2 EXTENDED SWATH BEAM MODES Jayson Eppler (1), Mike Kubanski (1) (1) MDA Systems Ltd., 13800 Commerce Parkway, Richmond, British Columbia, Canada, V6V

More information

UAVSAR in Africa. Quality Assurance and Preliminary Results. Brian Hawkins, UAVSAR Team

UAVSAR in Africa. Quality Assurance and Preliminary Results. Brian Hawkins, UAVSAR Team Photo by Sassan Saatchi UAVSAR in Africa Quality Assurance and Preliminary Results Brian Hawkins, UAVSAR Team CEOS SAR Cal/Val Workshop 2016 Copyright 2016 California Institute of Technology. Government

More information

Introduction to Radio Astronomy!

Introduction to Radio Astronomy! Introduction to Radio Astronomy! Sources of radio emission! Radio telescopes - collecting the radiation! Processing the radio signal! Radio telescope characteristics! Observing radio sources Sources of

More information

Sub-millimeter Wave Planar Near-field Antenna Testing

Sub-millimeter Wave Planar Near-field Antenna Testing Sub-millimeter Wave Planar Near-field Antenna Testing Daniёl Janse van Rensburg 1, Greg Hindman 2 # Nearfield Systems Inc, 1973 Magellan Drive, Torrance, CA, 952-114, USA 1 drensburg@nearfield.com 2 ghindman@nearfield.com

More information

Specificities of Near Nadir Ka-band Interferometric SAR Imagery

Specificities of Near Nadir Ka-band Interferometric SAR Imagery Specificities of Near Nadir Ka-band Interferometric SAR Imagery Roger Fjørtoft, Alain Mallet, Nadine Pourthie, Jean-Marc Gaudin, Christine Lion Centre National d Etudes Spatiales (CNES), France Fifamé

More information

Exercise 1-4. The Radar Equation EXERCISE OBJECTIVE DISCUSSION OUTLINE DISCUSSION OF FUNDAMENTALS

Exercise 1-4. The Radar Equation EXERCISE OBJECTIVE DISCUSSION OUTLINE DISCUSSION OF FUNDAMENTALS Exercise 1-4 The Radar Equation EXERCISE OBJECTIVE When you have completed this exercise, you will be familiar with the different parameters in the radar equation, and with the interaction between these

More information

Microwave Remote Sensing

Microwave Remote Sensing Provide copy on a CD of the UCAR multi-media tutorial to all in class. Assign Ch-7 and Ch-9 (for two weeks) as reading material for this class. HW#4 (Due in two weeks) Problems 1,2,3 and 4 (Chapter 7)

More information

THE NATURE OF GROUND CLUTTER AFFECTING RADAR PERFORMANCE MOHAMMED J. AL SUMIADAEE

THE NATURE OF GROUND CLUTTER AFFECTING RADAR PERFORMANCE MOHAMMED J. AL SUMIADAEE International Journal of Electronics, Communication & Instrumentation Engineering Research and Development (IJECIERD) ISSN(P): 2249-684X; ISSN(E): 2249-7951 Vol. 6, Issue 2, Apr 2016, 7-14 TJPRC Pvt. Ltd.

More information

NCAR HIAPER Cloud Radar Design and Development

NCAR HIAPER Cloud Radar Design and Development NCAR HIAPER Cloud Radar Design and Development Pei-Sang Tsai, E. Loew, J. Vivekananadan, J. Emmett, C. Burghart, S. Rauenbuehler Earth Observing Laboratory, National Center for Atmospheric Research, Boulder,

More information

RECOMMENDATION ITU-R S.1340 *,**

RECOMMENDATION ITU-R S.1340 *,** Rec. ITU-R S.1340 1 RECOMMENDATION ITU-R S.1340 *,** Sharing between feeder links the mobile-satellite service and the aeronautical radionavigation service in the Earth-to-space direction in the band 15.4-15.7

More information

The Shaped Coverage Area Antenna for Indoor WLAN Access Points

The Shaped Coverage Area Antenna for Indoor WLAN Access Points The Shaped Coverage Area Antenna for Indoor WLAN Access Points A.BUMRUNGSUK and P. KRACHODNOK School of Telecommunication Engineering, Institute of Engineering Suranaree University of Technology 111 University

More information

Rapid scanning with phased array radars issues and potential resolution. Dusan S. Zrnic, V.M.Melnikov, and R.J.Doviak

Rapid scanning with phased array radars issues and potential resolution. Dusan S. Zrnic, V.M.Melnikov, and R.J.Doviak Rapid scanning with phased array radars issues and potential resolution Dusan S. Zrnic, V.M.Melnikov, and R.J.Doviak Z field, Amarillo 05/30/2012 r=200 km El = 1.3 o From Kumjian ρ hv field, Amarillo 05/30/2012

More information

3D radar imaging based on frequency-scanned antenna

3D radar imaging based on frequency-scanned antenna LETTER IEICE Electronics Express, Vol.14, No.12, 1 10 3D radar imaging based on frequency-scanned antenna Sun Zhan-shan a), Ren Ke, Chen Qiang, Bai Jia-jun, and Fu Yun-qi College of Electronic Science

More information

Development of a Ground-based Synthetic Aperture Radar System for Highly Repeatable Measurements

Development of a Ground-based Synthetic Aperture Radar System for Highly Repeatable Measurements Development of a Ground-based Synthetic Aperture Radar System for Highly Repeatable Measurements Hoonyol LEE, Seong-Jun CHO, Nak-Hoon SUNG and Jung-Ho KIM Department of Geophysics, Kangwon National University

More information

Guide to observation planning with GREAT

Guide to observation planning with GREAT Guide to observation planning with GREAT G. Sandell GREAT is a heterodyne receiver designed to observe spectral lines in the THz region with high spectral resolution and sensitivity. Heterodyne receivers

More information

Synthetic Aperture Radar (SAR) Imaging using Global Back Projection (GBP) Algorithm For Airborne Radar Systems

Synthetic Aperture Radar (SAR) Imaging using Global Back Projection (GBP) Algorithm For Airborne Radar Systems Proc. of Int. Conf. on Current Trends in Eng., Science and Technology, ICCTEST Synthetic Aperture Radar (SAR) Imaging using Global Back Projection (GBP) Algorithm For Airborne Radar Systems Kavitha T M

More information

Building Optimal Statistical Models with the Parabolic Equation Method

Building Optimal Statistical Models with the Parabolic Equation Method PIERS ONLINE, VOL. 3, NO. 4, 2007 526 Building Optimal Statistical Models with the Parabolic Equation Method M. Le Palud CREC St-Cyr Telecommunications Department (LESTP), Guer, France Abstract In this

More information

ANECHOIC CHAMBER EVALUATION

ANECHOIC CHAMBER EVALUATION ANECHOIC CHAMBER EVALUATION Antenna Measurement Techniques Association Conference October 3 - October 7, 1994 Karl Haner Nearfield Systems Inc. 1330 E. 223rd Street Bldg.524 Carson, CA 90745 USA (310)

More information

RANGE resolution and dynamic range are the most important

RANGE resolution and dynamic range are the most important INTL JOURNAL OF ELECTRONICS AND TELECOMMUNICATIONS, 2012, VOL. 58, NO. 2, PP. 135 140 Manuscript received August 17, 2011; revised May, 2012. DOI: 10.2478/v10177-012-0019-1 High Resolution Noise Radar

More information

CHAPTER 2 MICROSTRIP REFLECTARRAY ANTENNA AND PERFORMANCE EVALUATION

CHAPTER 2 MICROSTRIP REFLECTARRAY ANTENNA AND PERFORMANCE EVALUATION 43 CHAPTER 2 MICROSTRIP REFLECTARRAY ANTENNA AND PERFORMANCE EVALUATION 2.1 INTRODUCTION This work begins with design of reflectarrays with conventional patches as unit cells for operation at Ku Band in

More information

A SAR Conjugate Mirror

A SAR Conjugate Mirror A SAR Conjugate Mirror David Hounam German Aerospace Center, DLR, Microwaves and Radar Institute Oberpfaffenhofen, D-82234 Wessling, Germany Fax: +49 8153 28 1449, E-Mail: David.Hounam@dlr.de Abstract--

More information

Design and Performance Simulation of a Ku-Band Rotating Fan-Beam Scatterometer

Design and Performance Simulation of a Ku-Band Rotating Fan-Beam Scatterometer Design and Performance Simulation of a Ku-Band Rotating Fan-Beam Scatterometer Xiaolong DONG, Wenming LIN, Di ZHU, (CSSAR/CAS) PO Box 8701, Beijing, 100190, China Tel: +86-10-62582841, Fax: +86-10-62528127

More information

AGRON / E E / MTEOR 518 Laboratory

AGRON / E E / MTEOR 518 Laboratory AGRON / E E / MTEOR 518 Laboratory Brian Hornbuckle, Nolan Jessen, and John Basart April 5, 2018 1 Objectives In this laboratory you will: 1. identify the main components of a ground based microwave radiometer

More information

Ocean current with DopSCA

Ocean current with DopSCA Ocean current with DopSCA New results, April 2018 Peter Hoogeboom, p.hoogeboom@tudelft.nl Ad Stofelen, Paco Lopez Dekker 1 Context ESA DopScat study 10 years ago suggested a dual chirp signal for ocean

More information

Simulation of FMCW Radar Systems Based on Software Defined Radio

Simulation of FMCW Radar Systems Based on Software Defined Radio Simulation of FMCW Radar Systems Based on Software Defined Radio Carlos López-Martínez CARLOS.LOPEZ@TSC.UPC.EDU Universitat Politècnica de Catalunya UPC, Signal Theory and Comms. Dept., Jordi Girona 1-3,

More information

RECOMMENDATION ITU-R BS.80-3 * Transmitting antennas in HF broadcasting

RECOMMENDATION ITU-R BS.80-3 * Transmitting antennas in HF broadcasting Rec. ITU-R BS.80-3 1 RECOMMENDATION ITU-R BS.80-3 * Transmitting antennas in HF broadcasting (1951-1978-1986-1990) The ITU Radiocommunication Assembly, considering a) that a directional transmitting antenna

More information

Calibration Assessment of RADARSAT-2 Polarimetry Using High Precision Transponders

Calibration Assessment of RADARSAT-2 Polarimetry Using High Precision Transponders Calibration Assessment of RADARSAT-2 Polarimetry Using High Precision Transponders R Touzi, S Côté, RK Hawkins CCRS/CSA Acknowledgments S Nedelcu (CCRS) S Muir (CSA) 1 Outline-Polarimetric RADARSAT-2 Independent

More information

The Polarimetric Dynamical Estimator HRP Improving Success in the Detection Process

The Polarimetric Dynamical Estimator HRP Improving Success in the Detection Process Angelo M. Ricci and R. Trinci Radar Cross Section Dpt. Istituto per le Telecomunicazioni l Elettronica Giancarlo Vallauri Italian Navy - Mariteleradar Viale Italia, 72 57126 Livorno Italy tel: +39 0586

More information

The Potential of Synthetic Aperture Sonar in seafloor imaging

The Potential of Synthetic Aperture Sonar in seafloor imaging The Potential of Synthetic Aperture Sonar in seafloor imaging CM 2000/T:12 Ron McHugh Heriot-Watt University, Department of Computing and Electrical Engineering, Edinburgh, EH14 4AS, Scotland, U.K. Tel:

More information

Identification of periodic structure target using broadband polarimetry in terahertz radiation

Identification of periodic structure target using broadband polarimetry in terahertz radiation Identification of periodic structure target using broadband polarimetry in terahertz radiation Yuki Kamagata, Hiroaki Nakabayashi a), Koji Suizu, and Keizo Cho Chiba Institute of Technology, Tsudanuma,

More information

Faraday rotation estimation from unfocussed ALOS PALSAR raw data

Faraday rotation estimation from unfocussed ALOS PALSAR raw data Faraday rotation estimation from unfocussed ALOS PALSAR raw data arco Lavalle 1 3, E. Pottier 2, D. Solimini 1, N. iranda 3 1 DISP, Tor Vergata University, Rome, Italy 2 IETR UR CNRS 6164, University of

More information

RADAR REMOTE SENSING

RADAR REMOTE SENSING RADAR REMOTE SENSING Jan G.P.W. Clevers & Steven M. de Jong Chapter 8 of L&K 1 Wave theory for the EMS: Section 1.2 of L&K E = electrical field M = magnetic field c = speed of light : propagation direction

More information

A DUAL-RECEIVER METHOD FOR SIMULTANEOUS MEASUREMENTS OF RADOME TRANSMISSION EFFICIENCY AND BEAM DEFLECTION

A DUAL-RECEIVER METHOD FOR SIMULTANEOUS MEASUREMENTS OF RADOME TRANSMISSION EFFICIENCY AND BEAM DEFLECTION A DUAL-RECEIVER METHOD FOR SIMULTANEOUS MEASUREMENTS OF RADOME TRANSMISSION EFFICIENCY AND BEAM DEFLECTION Robert Luna MI Technologies, 4500 River Green Parkway, Suite 200 Duluth, GA 30096 rluna@mi-technologies.com

More information

ENVISAT Microwave Radiometer Assessment Report Cycle 051 04-09-2006 09-10-2006 Prepared by : M. DEDIEU, CETP L. EYMARD, LOCEAN/IPSL E. OBLIGIS, CLS OZ. ZANIFE, CLS F. FERREIRA, CLS Checked by : Approved

More information

Sea surface temperature observation through clouds by the Advanced Microwave Scanning Radiometer 2

Sea surface temperature observation through clouds by the Advanced Microwave Scanning Radiometer 2 Sea surface temperature observation through clouds by the Advanced Microwave Scanning Radiometer 2 Akira Shibata Remote Sensing Technology Center of Japan (RESTEC) Tsukuba-Mitsui blds. 18F, 1-6-1 Takezono,

More information

BYU SAR: A LOW COST COMPACT SYNTHETIC APERTURE RADAR

BYU SAR: A LOW COST COMPACT SYNTHETIC APERTURE RADAR BYU SAR: A LOW COST COMPACT SYNTHETIC APERTURE RADAR David G. Long, Bryan Jarrett, David V. Arnold, Jorge Cano ABSTRACT Synthetic Aperture Radar (SAR) systems are typically very complex and expensive.

More information

RECOMMENDATION ITU-R SA.1628

RECOMMENDATION ITU-R SA.1628 Rec. ITU-R SA.628 RECOMMENDATION ITU-R SA.628 Feasibility of sharing in the band 35.5-36 GHZ between the Earth exploration-satellite service (active) and space research service (active), and other services

More information

Radar Polarimetry- Potential for Geosciences

Radar Polarimetry- Potential for Geosciences Radar Polarimetry- Potential for Geosciences Franziska Kersten Department of geology, TU Freiberg Abstract. The ability of Radar Polarimetry to obtain information about physical properties of the surface

More information

Phased Array Velocity Sensor Operational Advantages and Data Analysis

Phased Array Velocity Sensor Operational Advantages and Data Analysis Phased Array Velocity Sensor Operational Advantages and Data Analysis Matt Burdyny, Omer Poroy and Dr. Peter Spain Abstract - In recent years the underwater navigation industry has expanded into more diverse

More information

EVLA Memo 170 Determining full EVLA polarization leakage terms at C and X bands

EVLA Memo 170 Determining full EVLA polarization leakage terms at C and X bands EVLA Memo 17 Determining full EVLA polarization leakage terms at C and s R.J. Sault, R.A. Perley August 29, 213 Introduction Polarimetric calibration of an interferometer array involves determining the

More information

SYNTHETIC aperture radar (SAR) is a remote sensing

SYNTHETIC aperture radar (SAR) is a remote sensing IEEE GEOSCIENCE AND REMOTE SENSING LETTERS 1 Nadir Echo Removal in Synthetic Aperture Radar via Waveform Diversity and Dual-Focus Postprocessing Michelangelo Villano, Member, IEEE, Gerhard Krieger, Fellow,

More information

Exercise 4. Angle Tracking Techniques EXERCISE OBJECTIVE

Exercise 4. Angle Tracking Techniques EXERCISE OBJECTIVE Exercise 4 Angle Tracking Techniques EXERCISE OBJECTIVE When you have completed this exercise, you will be familiar with the principles of the following angle tracking techniques: lobe switching, conical

More information

CSU-CHILL Radar. Outline. Brief History of the Radar

CSU-CHILL Radar. Outline. Brief History of the Radar CSU-CHILL Radar October 12, 2009 Outline Brief history Overall Architecture Radar Hardware Transmitter/timing generator Microwave hardware (Frequency chain, front-end) Antenna Digital receiver Radar Software

More information

4-10 Development of the CRL Okinawa Bistatic Polarimetric Radar

4-10 Development of the CRL Okinawa Bistatic Polarimetric Radar 4-10 Development of the CRL Okinawa Bistatic Polarimetric Radar NAKAGAWA Katsuhiro, HANADO Hiroshi, SATOH Shinsuke, and IGUCHI Toshio Communications Research Laboratory (CRL) has developed a new C-band

More information

Constraints on the polarization purity of a Stokes microwave radiometer

Constraints on the polarization purity of a Stokes microwave radiometer Constraints on the polarization purity of a Stokes microwave radiometer Christopher S. Ruf Radio Science, Volume 33, Number 6, Pages 1617 1639, November December 1998 Department of Electrical Engineering,

More information

328 IMPROVING POLARIMETRIC RADAR PARAMETER ESTIMATES AND TARGET IDENTIFICATION : A COMPARISON OF DIFFERENT APPROACHES

328 IMPROVING POLARIMETRIC RADAR PARAMETER ESTIMATES AND TARGET IDENTIFICATION : A COMPARISON OF DIFFERENT APPROACHES 328 IMPROVING POLARIMETRIC RADAR PARAMETER ESTIMATES AND TARGET IDENTIFICATION : A COMPARISON OF DIFFERENT APPROACHES Alamelu Kilambi 1, Frédéric Fabry, Sebastian Torres 2 Atmospheric and Oceanic Sciences,

More information

essential requirements is to achieve very high cross-polarization discrimination over a

essential requirements is to achieve very high cross-polarization discrimination over a INTRODUCTION CHAPTER-1 1.1 BACKGROUND The antennas used for specific applications in satellite communications, remote sensing, radar and radio astronomy have several special requirements. One of the essential

More information

A TECHNIQUE TO EVALUATE THE IMPACT OF FLEX CABLE PHASE INSTABILITY ON mm-wave PLANAR NEAR-FIELD MEASUREMENT ACCURACIES

A TECHNIQUE TO EVALUATE THE IMPACT OF FLEX CABLE PHASE INSTABILITY ON mm-wave PLANAR NEAR-FIELD MEASUREMENT ACCURACIES A TECHNIQUE TO EVALUATE THE IMPACT OF FLEX CABLE PHASE INSTABILITY ON mm-wave PLANAR NEAR-FIELD MEASUREMENT ACCURACIES Daniël Janse van Rensburg Nearfield Systems Inc., 133 E, 223rd Street, Bldg. 524,

More information

Non Stationary Bistatic Synthetic Aperture Radar Processing: Assessment of Frequency Domain Processing from Simulated and Real Signals

Non Stationary Bistatic Synthetic Aperture Radar Processing: Assessment of Frequency Domain Processing from Simulated and Real Signals PIERS ONLINE, VOL. 5, NO. 2, 2009 196 Non Stationary Bistatic Synthetic Aperture Radar Processing: Assessment of Frequency Domain Processing from Simulated and Real Signals Hubert M. J. Cantalloube Office

More information

Upgraded Planar Near-Field Test Range For Large Space Flight Reflector Antennas Testing from L to Ku-Band

Upgraded Planar Near-Field Test Range For Large Space Flight Reflector Antennas Testing from L to Ku-Band Upgraded Planar Near-Field Test Range For Large Space Flight Reflector Antennas Testing from L to Ku-Band Laurent Roux, Frédéric Viguier, Christian Feat ALCATEL SPACE, Space Antenna Products Line 26 avenue

More information

Wave Sensing Radar and Wave Reconstruction

Wave Sensing Radar and Wave Reconstruction Applied Physical Sciences Corp. 475 Bridge Street, Suite 100, Groton, CT 06340 (860) 448-3253 www.aphysci.com Wave Sensing Radar and Wave Reconstruction Gordon Farquharson, John Mower, and Bill Plant (APL-UW)

More information