LISA data analysis: Doppler demodulation
|
|
- Coral Young
- 5 years ago
- Views:
Transcription
1 INSTITUTE OF HYSICSUBLISHING Class. Quantum Grav. 20 (2003) S163 S170 CLASSICAL ANDQUANTUM GRAVITY II: S (03) LISA data analysis: Doppler demodulation Neil J Cornish 1 and Shane L Larson 2 1 Department o hysics, Montana State University, Bozeman, MT 59717, USA 2 Space Radiation Laboratory, Caliornia Institute o Technology, asadena, CA 91125, USA Received 18 September 2002 ublished 28 April 2003 Online at stacks.iop.org/cqg/20/s163 Abstract The orbital motion o the laser intererometer space antenna (LISA) produces amplitude, phase and requency modulations o a gravitational wave signal. The modulations have the eect o spreading a monochromatic gravitational wave signal across a range o requencies. The modulations encode useul inormation about the source location and orientation, but they also have the deleterious eect o spreading a signal across a wide bandwidth, thereby reducing the strength o the signal relative to the instrument noise. We describe a simple method or removing the dominant, Doppler component o the signal modulation. The demodulation reassembles the power rom amonochromatic source into a narrow spike and provides a quick way to determine the sky locations and requencies o the brightest gravitational wave sources. ACS numbers: Nn, Ym (Some igures in this article are in colour only in the electronic version) 1. Introduction This paper introduces a quick and dirty method or making a irst pass at the laser intererometer space antenna (LISA) data analysis problem. LISA will be sensitive to gravitational wave sources in the requency range Hz, which nicely complements the requency range covered by the ground-based detectors ( Hz). The data analysis challenges posed by LISA are very dierent rom those encountered with the ground-based detectors. Unlike the situation aced by the ground-based observatories, most o the sources that LISA hopes to detect have well-understood gravitational waveorms indeed many o them will be monochromatic and unchanging over the lie o the experiment. The diiculty comes when we include LISA s orbital motion and the modulations this introduces into the signal. Since LISA is designed to orbit at 1 AU, the modulations introduce sidebands at multiples o the orbital requency o m = 1/year. The approach we investigate here works by correcting or the dominant, Doppler modulation. This has the eect o re-assembling most o the Fourier power o a monochromatic /03/ $ IO ublishing Ltd rinted in the UK S163
2 S164 NJCornishand S L Larson source into a single spike. Since the correctiondepends on where the source is located on the sky, we are able to locate a source and its requency. The Doppler demodulation approach is amiliar to radio astronomers and has been discussed in relation to gravitational wave astronomy [1]. Doppler demodulation orms an integral part o ground-based gravitational wave searches or continuous gravitational wave sources such as pulsars [2, 3]. However, the unique orbital motion o the LISA observatory and the dierent requency range that it covers demand a separate treatment o the Doppler demodulation approach to LISA data analysis. 2. Signal modulation LISA will output a time series describing the strain in the detector as a unction o time, h(t). The strain will be a combination o the signal s(t) and noise n(t) in the detector: h(t) = s(t) + n(t). Because o LISA s orbital motion, a source that is monochromatic at the Sun s barycentre will be spread over a range o requencies. A monochromatic gravitational wave with requency and amplitudes h + and h in the plus and cross polarizations will produce the response [4] s(t) = A(t) cos (t) (1) where (t) = [2π t + ϕ 0 + φ D (t) + φ (t)]. (2) The amplitude modulation A(t), requency modulation φ D (t) and phase modulation φ (t) are given by A(t) = [(h + F + (t)) 2 + (h F (t)) 2 ] 1/2 (3) φ D (t) = 2π R c sin θ s cos(2π m t φ s ) (4) ( h F ) (t) φ (t) = arctan. (5) h + F + (t) Here F + (t) and F (t) are the detector antenna patterns in barycentric coordinates [4]. Each o the modulations is periodic in the orbital requency m = 1/year. The angles θ s and φ s give the sky location o the source, ϕ 0 is the phase o the wave and R = 1AUistheEarth Sun distance. The requency modulation, which is caused by the time-dependent Doppler shiting o the gravitational wave in the rest rame o the detector, is the dominant eect or requencies above Hz [5]. Ignoring the amplitude and phase modulations or now, pure Doppler modulation takes the orm s(t) = A cos[2π t + β cos(2π m t φ s ) + ϕ 0 ] ( ) =R A J n (β) e 2πi( +mn)t e iϕ 0 e in(π/2 φ s ). (6) n= Here J n is a Bessel unction o the irst kind o order n and β is themodulation index β = 2π R c sin θ s. (7) The bandwidth o the signal deined to be the requency interval that contains 98% o the total power is given by B = 2(1+β) m. (8) Sources in the equatorial plane have bandwidths ranging rom B = Hz at = 10 3 Hz to B = Hz at = 10 2 Hz.
3 LISA data analysis: Doppler demodulation S Demodulation I LISA were at rest with respect to the sky, each monochromatic source would produce a spike in the power spectrum o s(t). While this would make data analysis very easy, it would also severely limit the science that could be done as it would be impossible to determine the source location or orientation. Since LISA will move with respect to the sky, each source will have its own unique modulation pattern, and this pattern can be used to ix its location and orientation. On the other hand, the modulation makes the data analysis more complicated as the Fourier power o each source is spread over a wide bandwidth B. Oneapproach to the data analysis problem is to demodulate the signal, thereby re-assembling all the power o a given source at one requency. Since each source has a unique modulation, each source will also require a unique demodulation. Demodulating a particular source is not diicult i one happens to know its requency, location, orientation and orbital phase. One could imagine searching through this parameter space and looking or spikes in the power spectrum corresponding to sources that have been properly demodulated. A more practical approach is to ocus on the Doppler modulation as it causes the largest spreading o the Fourier power. Consider the Doppler modulated phase [ (t) = 2π t + R ] c sin θ s cos(2π m t φ s ) + ϕ 0. (9) We seek a new time coordinate t in which this phase is stationary d = 2π = d dt dt dt dt. (10) Thus, t ( t = 1 v ) c sin θ s sin(2π m t φ s ) dt. (11) Working to irst order in v/c we have t = t R c sin θ s cos(2π m t φ s ). (12) Taking the data stream rom the detector over a one year period and perorming a ast Fourier transorm allows us to write s(t) = a n e 2πimnt. (13) n erorming the coordinate transormation (12) wearrive at the new Fourier expansion s(t ) = c k e 2πi mkt, (14) k where the Fourier coeicients c k are given by c k = ( ) R a n J n k 2πn m c sin θ s e i(n k)( φ s π/2). (15) n Since the modulation has a limited bandwidth, an excellent approximation to c k is given by where c k k+l n=k l a n J n k (α) e i(n k)( φ s π/2), (16) α = 2πk m R c sin θ s (17)
4 S166 NJCornishand S L Larson Figure 1. ower spectra, (), beore (dashed line) and ater (solid line) Doppler demodulation. and l = 1+[α]. (18) The square brackets imply that we have taken the integer part o α. Consider the pure Doppler modulation described in (6) orthesimple case where = q m,andqis an integer (the non-integer case is more involved, but the idea is the same). The source has Fourier components a n = A e iϕ 0 J n q (β) e i(n q)(π/2 φ s ), (19) so that c k A e iϕ 0 e i(q k)( φ s π/2) J n q (β)j n k (α). (20) n Using the Neumann addition theorem, J n q (β)j n k (α) = J k q (α β), (21) n and the act that α β,weind c k A e iϕ 0 δ kq. (22) In other words, the Doppler demodulation procedure re-assembles all the power at the barycentre requency = q m. The demodulation is less eective when applied to a real LISA source because it does not correct orthe amplitude and phase modulations. Our Fourier space approach is very eicient i one is interested in a limited requency range. It does not oer any great saving over a direct implementation in the time domain i one wants to consider all requencies at once. Hellings [6] has recently implemented the Doppler demodulation procedure in the time domain and ound similar results to ours. To illustrate how the Doppler demodulation works, we consider monochromatic, circular Newtonian binaries as described in [4]. Figure 1 shows the power spectrum o s(t) beore and ater Doppler demodulation or a source with = Hz, θ s = and φ s = We see that most o the power is collected into a spike o width 3 m about the barycentre requency.
5 LISA data analysis: Doppler demodulation S Figure 2. ower spectra beore (dashed line) and ater (solid line) Doppler demodulation. The upper graph shows the demodulation when the detector is made stationary with respect to the higher-requency source, while the lower graph shows the same or the lower-requency source Figure 3. ower spectra beore (dashed line) and ater (solid line) Doppler demodulation. The upper graph shows the demodulation when the detector is made stationary with respect to source A, while the lower graph shows the same or source B. Table 1. Description o sources A and B. (Hz) θ s φ s A B Next we consider an example wherethereare two sources that have nearly the same requency but, nevertheless, do not have overlapping bandwidths. The sources have = Hz, ( θ s, φ s ) = ( , ) and = Hz, ( θ s, φ s ) = ( , ). The higher-requencysource has an amplitude times larger than the lower-requency source. The eect o demodulating each source is shown in igure 2. The perormance o the demodulation procedure is considerably less impressive when the two sources have overlapping bandwidths. Consider sources A and B described in table 1. The amplitude o source B is 1.59 times larger than the amplitude o source A. Figure 3 shows
6 S168 NJCornishand S L Larson Figure 4. Determining the sky location o a source with ( θ s, φ s ) = ( , ). The sky map uses the Mollweide projection in ecliptic coordinates with (π/2, 0) at the centre o the map. what happens when we demodulate sources A and B in turn. Because the two sources overlap, their signals interere with each other and the demodulation is able to detect only the stronger o the two sources Angular resolution The Doppler demodulation technique can be used to ind the sky location o a source by successively demodulating each point on the sky. In practice, we use the HEALIX [7] hierarchical, equal area pixelization scheme toprovide a inite number o sky locations to demodulate. We search or the maximum power contained in three adjacent requency bins and record this value or each sky pixel. Rather than ind the maxima across all requencies, we produce separate sky maps or requency intervals o width 4π R c m.there is little point in trying to use smaller requency intervals due to the intererence eect discussed earlier. We begin by considering an isolated source (i.e., no other sources with overlapping bandwidths) with = Hz and ( θ s, φ s ) = ( , ). Usingsky pixels o angular size 0.92,wearrive at the graph shown in igure 4. The demodulation code produced the best it values o = Hz and ( θ s, φ s ) = (1.253, 5.04) and ( θ s, φ s ) = (1.889, 5.04). The degenerate it or the sky location illustrates one o the drawbacks o the Doppler demodulation method it is unable to distinguish between sources above or below the equator. The errors in the source location ( θ s = 2.1, φ s = 6.3 ) are larger than the pixel size and can be attributed to the amplitude and phase modulations which we have not corrected or. It should be noted that the error in the source location is not caused by instrument noise since we are working in the large signal-to-noise limit (n(t) = 0). Indeed, instrument noise has little eect on the demodulation procedure since the noise is incoherent. The noise gets moved about in requency space, but there is little power accumulation at any one requency. When noise was added to the previous example at a signal-to-noise ratio o 5, the requency determination and φ s determination were unaected, while the error in θ s increased to θ s = 3.4. Finally, we illustrate how the source intererence phenomena discussed earlier limit our ability to locate sources that overlap in requency. Figures 5 and 6 show how the demodulation procedure is able to locate sources A and B when one o the sources is turned o. Figure 7 shows what happens when both sources are present. We see that source B shows up clearly, while source A iswashedout.
7 LISA data analysis: Doppler demodulation S169 Figure 5. Determining the sky location o source A without source B. Figure 6. Determining the sky location o source B without source A. Figure 7. Determining the sky location o sources A and B together. 4. Discussion The Doppler demodulation procedure provides a quick way o inding the requencies and sky locations o the brightest sources detected by LISA. The method has a number o limitations, the most serious being its inability to locate more than one source per bandwidth and its
8 S170 NJCornishand S L Larson inability to determine i a source is in the northern or southern hemisphere. Despite these limitations, the Doppler demodulation procedure will be a useul tool in the LISA data analysis arsenal. Acknowledgments It is a pleasure to thank Tom rince and the members o the Montana Gravitational Wave Astronomy Group Bill Hisock, Ron Hellings and Matt Benacquista or many stimulating discussions. The work o NJC was supported by the NASA ESCoR programme through Cooperative Agreement NCC The work o SLL was supported by LISA contract number O Reerences [1] Livas J C 1987 hd Thesis Massachusetts Institute o Technology [2] Brady R, Creighton T, Cutler C and Schutz B F 1998 hys. Rev. D [3] Dhurandhar S V and Vecchio A 2001 hys. Rev. D [4] Cutler C 1998 hys. Rev. D [5] Cornish N J and Larson S 2002 Lisa data analysis: II. Source identiication and subtraction (in preparation) [6] Hellings R W 2002 in preparation [7] Gorski K M, Wandelt B D, Hivon E, Hansen F K and Banday A J 1999 reprint astro-ph/ (web page:
arxiv:gr-qc/ v2 13 Jun 2002
LISA data analysis I: Doppler demodulation Neil J. Cornish Department o hysics, Montana State University, Bozeman, MT 59717 Shane L. Larson Space Radiation Laboratory, Caliornia Institute o Technology,
More informationSinusoidal signal. Arbitrary signal. Periodic rectangular pulse. Sampling function. Sampled sinusoidal signal. Sampled arbitrary signal
Techniques o Physics Worksheet 4 Digital Signal Processing 1 Introduction to Digital Signal Processing The ield o digital signal processing (DSP) is concerned with the processing o signals that have been
More informationExperiment 7: Frequency Modulation and Phase Locked Loops Fall 2009
Experiment 7: Frequency Modulation and Phase Locked Loops Fall 2009 Frequency Modulation Normally, we consider a voltage wave orm with a ixed requency o the orm v(t) = V sin(ω c t + θ), (1) where ω c is
More informationEEE 311: Digital Signal Processing I
EEE 311: Digital Signal Processing I Course Teacher: Dr Newaz Md Syur Rahim Associated Proessor, Dept o EEE, BUET, Dhaka 1000 Syllabus: As mentioned in your course calendar Reerence Books: 1 Digital Signal
More informationTraditional Analog Modulation Techniques
Chapter 5 Traditional Analog Modulation Techniques Mikael Olosson 2002 2007 Modulation techniques are mainly used to transmit inormation in a given requency band. The reason or that may be that the channel
More information3.6 Intersymbol interference. 1 Your site here
3.6 Intersymbol intererence 1 3.6 Intersymbol intererence what is intersymbol intererence and what cause ISI 1. The absolute bandwidth o rectangular multilevel pulses is ininite. The channels bandwidth
More informationThe fourier spectrum analysis of optical feedback self-mixing signal under weak and moderate feedback
University o Wollongong Research Online Faculty o Inormatics - Papers (Archive) Faculty o Engineering and Inormation Sciences 8 The ourier spectrum analysis o optical eedback sel-mixing signal under weak
More informationarxiv:gr-qc/ v1 5 Feb 2003
Resolving signals in the LISA data Andrzej Królak and Massimo Tinto Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 99 (Dated: September 7, 7) Abstract We estimate the upper
More informationComplex Spectrum. Box Spectrum. Im f. Im f. Sine Spectrum. Cosine Spectrum 1/2 1/2 1/2. f C -f C 1/2
ECPE 364: view o Small-Carrier Amplitude Modulation his handout is a graphical review o small-carrier amplitude modulation techniques that we studied in class. A Note on Complex Signal Spectra All o the
More informationHigh Speed Communication Circuits and Systems Lecture 10 Mixers
High Speed Communication Circuits and Systems Lecture Mixers Michael H. Perrott March 5, 24 Copyright 24 by Michael H. Perrott All rights reserved. Mixer Design or Wireless Systems From Antenna and Bandpass
More informationUnequal arm space-borne gravitational wave detectors
Unequal arm space-borne gravitational wave detectors Shane L. Larson* Space Radiation Laboratory, California Institute of Technology, Pasadena, California 91125 Ronald W. Hellings and William A. Hiscock
More informationSoftware Defined Radio Forum Contribution
Committee: Technical Sotware Deined Radio Forum Contribution Title: VITA-49 Drat Speciication Appendices Source Lee Pucker SDR Forum 604-828-9846 Lee.Pucker@sdrorum.org Date: 7 March 2007 Distribution:
More informationInstantaneous frequency Up to now, we have defined the frequency as the speed of rotation of a phasor (constant frequency phasor) φ( t) = A exp
Exponential modulation Instantaneous requency Up to now, we have deined the requency as the speed o rotation o a phasor (constant requency phasor) φ( t) = A exp j( ω t + θ ). We are going to generalize
More informationGalactic binary foregrounds Resolving, identifying and subtracting binary stars
Galactic binary foregrounds Resolving, identifying and subtracting binary stars Shane L. Larson Space Radiation Laboratory California Institute of Technology shane@srl.caltech.edu Pennsylvania State University
More informationA MATLAB Model of Hybrid Active Filter Based on SVPWM Technique
International Journal o Electrical Engineering. ISSN 0974-2158 olume 5, Number 5 (2012), pp. 557-569 International Research Publication House http://www.irphouse.com A MATLAB Model o Hybrid Active Filter
More informationIntroduction to OFDM. Characteristics of OFDM (Orthogonal Frequency Division Multiplexing)
Introduction to OFDM Characteristics o OFDM (Orthogonal Frequency Division Multiplexing Parallel data transmission with very long symbol duration - Robust under multi-path channels Transormation o a requency-selective
More information1. Motivation. 2. Periodic non-gaussian noise
. Motivation One o the many challenges that we ace in wireline telemetry is how to operate highspeed data transmissions over non-ideal, poorly controlled media. The key to any telemetry system design depends
More informationDetection and direction-finding of spread spectrum signals using correlation and narrowband interference rejection
Detection and direction-inding o spread spectrum signals using correlation and narrowband intererence rejection Ulrika Ahnström,2,JohanFalk,3, Peter Händel,3, Maria Wikström Department o Electronic Warare
More informationECE5984 Orthogonal Frequency Division Multiplexing and Related Technologies Fall Mohamed Essam Khedr. Channel Estimation
ECE5984 Orthogonal Frequency Division Multiplexing and Related Technologies Fall 2007 Mohamed Essam Khedr Channel Estimation Matlab Assignment # Thursday 4 October 2007 Develop an OFDM system with the
More informationWith the proposed technique, those two problems will be overcome. reduction is to eliminate the specific harmonics, which are the lowest orders.
CHAPTER 3 OPTIMIZED HARMONIC TEPPED-WAVEFORM TECHNIQUE (OHW The obective o the proposed optimized harmonic stepped-waveorm technique is to reduce, as much as possible, the harmonic distortion in the load
More informationPLANNING AND DESIGN OF FRONT-END FILTERS
PLANNING AND DESIGN OF FRONT-END FILTERS AND DIPLEXERS FOR RADIO LINK APPLICATIONS Kjetil Folgerø and Jan Kocba Nera Networks AS, N-52 Bergen, NORWAY. Email: ko@nera.no, jko@nera.no Abstract High capacity
More informationOptimizing Reception Performance of new UWB Pulse shape over Multipath Channel using MMSE Adaptive Algorithm
IOSR Journal o Engineering (IOSRJEN) ISSN (e): 2250-3021, ISSN (p): 2278-8719 Vol. 05, Issue 01 (January. 2015), V1 PP 44-57 www.iosrjen.org Optimizing Reception Perormance o new UWB Pulse shape over Multipath
More informationLength-Sensing OpLevs for KAGRA
Length-Sensing OpLevs or KAGRA Simon Zeidler Basics Length-Sensing Optical Levers are needed in order to measure the shit o mirrors along the optical path o the incident main-laser beam with time. The
More informationAmplifiers. Department of Computer Science and Engineering
Department o Computer Science and Engineering 2--8 Power ampliiers and the use o pulse modulation Switching ampliiers, somewhat incorrectly named digital ampliiers, have been growing in popularity when
More informationSEG/San Antonio 2007 Annual Meeting. Summary. Morlet wavelet transform
Xiaogui Miao*, CGGVeritas, Calgary, Canada, Xiao-gui_miao@cggveritas.com Dragana Todorovic-Marinic and Tyler Klatt, Encana, Calgary Canada Summary Most geologic changes have a seismic response but sometimes
More informationSignal Sampling. Sampling. Sampling. Sampling. Sampling. Sampling
Signal Let s sample the signal at a time interval o Dr. Christopher M. Godrey University o North Carolina at Asheville Photo: C. Godrey Let s sample the signal at a time interval o Reconstruct the curve
More informationVibrations & Sound. Chapter 11
Vibrations & Sound Chapter 11 Waves are the practical applications o oscillations. Waves show up in nature in many orms that include physical waves in a medium like sound, and waves o varying electric
More informationFurther developments on gear transmission monitoring
Further developments on gear transmission monitoring Niola V., Quaremba G., Avagliano V. Department o Mechanical Engineering or Energetics University o Naples Federico II Via Claudio 21, 80125, Napoli,
More informationOutline. Wireless PHY: Modulation and Demodulation. Admin. Page 1. g(t)e j2πk t dt. G[k] = 1 T. G[k] = = k L. ) = g L (t)e j2π f k t dt.
Outline Wireless PHY: Modulation and Demodulation Y. Richard Yang Admin and recap Basic concepts o modulation Amplitude demodulation requency shiting 09/6/202 2 Admin First assignment to be posted by this
More informationOutline. Wireless PHY: Modulation and Demodulation. Admin. Page 1. G[k] = 1 T. g(t)e j2πk t dt. G[k] = = k L. ) = g L (t)e j2π f k t dt.
Outline Wireless PHY: Modulation and Demodulation Y. Richard Yang Admin and recap Basic concepts o modulation Amplitude modulation Amplitude demodulation requency shiting 9/6/22 2 Admin First assignment
More informationNoise Removal from ECG Signal and Performance Analysis Using Different Filter
International Journal o Innovative Research in Electronics and Communication (IJIREC) Volume. 1, Issue 2, May 214, PP.32-39 ISSN 2349-442 (Print) & ISSN 2349-45 (Online) www.arcjournal.org Noise Removal
More informationThe Research of Electric Energy Measurement Algorithm Based on S-Transform
International Conerence on Energy, Power and Electrical Engineering (EPEE 16 The Research o Electric Energy Measurement Algorithm Based on S-Transorm Xiyang Ou1,*, Bei He, Xiang Du1, Jin Zhang1, Ling Feng1,
More informationSound. Production of Sound
Sound Production o Sound Sound is produced by a vibrating object. A loudspeaker has a membrane or diaphragm that is made to vibrate by electrical currents. Musical instruments such as gongs or cymbals
More informationWireless Channel Modeling (Modeling, Simulation, and Mitigation)
Wireless Channel Modeling (Modeling, Simulation, and Mitigation) Dr. Syed Junaid Nawaz Assistant Proessor Department o Electrical Engineering COMSATS Institute o Inormation Technology Islamabad, Paistan.
More informationISSUE: April Fig. 1. Simplified block diagram of power supply voltage loop.
ISSUE: April 200 Why Struggle with Loop ompensation? by Michael O Loughlin, Texas Instruments, Dallas, TX In the power supply design industry, engineers sometimes have trouble compensating the control
More informationFatigue Life Assessment Using Signal Processing Techniques
Fatigue Lie Assessment Using Signal Processing Techniques S. ABDULLAH 1, M. Z. NUAWI, C. K. E. NIZWAN, A. ZAHARIM, Z. M. NOPIAH Engineering Faculty, Universiti Kebangsaan Malaysia 43600 UKM Bangi, Selangor,
More informationThe Communications Channel (Ch.11):
ECE-5 Phil Schniter February 5, 8 The Communications Channel (Ch.): The eects o signal propagation are usually modeled as: ECE-5 Phil Schniter February 5, 8 Filtering due to Multipath Propagation: The
More informationChapter 3. System Theory and Technologies. 3.1 Physical Layer. ... How to transport digital symbols...?
Chapter 3 System Theory and Technologies 1 r... How to transport digital symbols...? 3.1.1 Introduction 3.1. Symbols, Bits and Baud 3.1.3 Wired Physical Layers 3.1.4 Radio based physical layer electromagnetic
More informationFundamentals of Spectrum Analysis. Christoph Rauscher
Fundamentals o Spectrum nalysis Christoph Rauscher Christoph Rauscher Volker Janssen, Roland Minihold Fundamentals o Spectrum nalysis Rohde & Schwarz GmbH & Co. KG, 21 Mühldorstrasse 15 81671 München Germany
More informationSignals and Systems II
1 To appear in IEEE Potentials Signals and Systems II Part III: Analytic signals and QAM data transmission Jerey O. Coleman Naval Research Laboratory, Radar Division This six-part series is a mini-course,
More informationA Physical Sine-to-Square Converter Noise Model
A Physical Sine-to-Square Converter Noise Model Attila Kinali Max Planck Institute or Inormatics, Saarland Inormatics Campus, Germany adogan@mpi-in.mpg.de Abstract While sinusoid signal sources are used
More informationNew metallic mesh designing with high electromagnetic shielding
MATEC Web o Conerences 189, 01003 (018) MEAMT 018 https://doi.org/10.1051/mateccon/01818901003 New metallic mesh designing with high electromagnetic shielding Longjia Qiu 1,,*, Li Li 1,, Zhieng Pan 1,,
More informationECEN 5014, Spring 2013 Special Topics: Active Microwave Circuits and MMICs Zoya Popovic, University of Colorado, Boulder
ECEN 5014, Spring 2013 Special Topics: Active Microwave Circuits and MMICs Zoya Popovic, University o Colorado, Boulder LECTURE 13 PHASE NOISE L13.1. INTRODUCTION The requency stability o an oscillator
More informationMeasuring the Speed of Light
Physics Teaching Laboratory Measuring the peed o Light Introduction: The goal o this experiment is to measure the speed o light, c. The experiment relies on the technique o heterodyning, a very useul tool
More informationAN EFFICIENT SET OF FEATURES FOR PULSE REPETITION INTERVAL MODULATION RECOGNITION
AN EFFICIENT SET OF FEATURES FOR PULSE REPETITION INTERVAL MODULATION RECOGNITION J-P. Kauppi, K.S. Martikainen Patria Aviation Oy, Naulakatu 3, 33100 Tampere, Finland, ax +358204692696 jukka-pekka.kauppi@patria.i,
More informationThe short FFT database and the peak map for the hierarchical search of periodic sources
INSTITUTE OF PHYSICS PUBLISHING Class. Quantum Grav. 22 (2005) S1197 S1210 CLASSICAL AND QUANTUM GRAVITY doi:10.1088/0264-9381/22/18/s34 The short FFT database and the peak map for the hierarchical search
More informationlens Figure 1. A refractory focusing arrangement. Focal point
Laboratory 2 - Introduction to Lenses & Telescopes Materials Used: A set o our lenses, an optical bench with a centimeter scale, a white screen, several lens holders, a light source (with crossed arrows),
More informationEXPLOITING RMS TIME-FREQUENCY STRUCTURE FOR DATA COMPRESSION IN EMITTER LOCATION SYSTEMS
NAECON : National Aerospace & Electronics Conerence, October -,, Dayton, Ohio 7 EXPLOITING RMS TIME-FREQUENCY STRUCTURE FOR DATA COMPRESSION IN EMITTER LOCATION SYSTEMS MARK L. FOWLER Department o Electrical
More informationAPPLICATION NOTE #1. Phase NoiseTheory and Measurement 1 INTRODUCTION
Tommorrow s Phase Noise Testing Today 35 South Service Road Plainview, NY 803 TEL: 56-694-6700 FAX: 56-694-677 APPLICATION NOTE # Phase NoiseTheory and Measurement INTRODUCTION Today, noise measurements
More informationChapter 23: Superposition, Interference, and Standing Waves
Chapter 3: Superposition, Intererence, and Standing Waves Previously, we considered the motion o a single wave in space and time What i there are two waves present simultaneously in the same place and
More informationBode Plot based Auto-Tuning Enhanced Solution for High Performance Servo Drives
Bode lot based Auto-Tuning Enhanced Solution or High erormance Servo Drives. O. Krah Danaher otion GmbH Wachholder Str. 4-4 4489 Düsseldor Germany Email: j.krah@danaher-motion.de Tel. +49 3 9979 133 Fax.
More informationJan M. Kelner, Cezary Ziółkowski, Leszek Kachel The empirical verification of the location method based on the Doppler effect Proceedings:
Authors: Jan M. Kelner, Cezary Ziółkowski, Leszek Kachel Title: The empirical veriication o the location method based on the Doppler eect Proceedings: Proceedings o MIKON-8 Volume: 3 Pages: 755-758 Conerence:
More informationSpread-Spectrum Technique in Sigma-Delta Modulators
Spread-Spectrum Technique in Sigma-Delta Modulators by Eric C. Moule Submitted in Partial Fulillment o the Requirements or the Degree Doctor o Philosophy Supervised by Proessor Zeljko Ignjatovic Department
More informationAll Digital Phase-Locked Loops, its Advantages and Performance Limitations
All Digital Phase-Locked Loops, its Advantages and Perormance Limitations Win Chaivipas, Philips Oh, and Akira Matsuawa Matsuawa Laboratory, Department o Physical Electronics, Tokyo Institute o Technology
More informationArtefact Characterisation for JPEG and JPEG 2000 Image Codecs: Edge Blur and Ringing
I'.NCINEER- Vol. XXXX, No. 3, pp. 25-3, 27
More informationNoise. Interference Noise
Noise David Johns and Ken Martin University o Toronto (johns@eecg.toronto.edu) (martin@eecg.toronto.edu) University o Toronto 1 o 55 Intererence Noise Unwanted interaction between circuit and outside world
More informationOutline. Wireless Networks (PHY): Design for Diversity. Admin. Outline. Page 1. Recap: Impact of Channel on Decisions. [hg(t) + w(t)]g(t)dt.
Wireless Networks (PHY): Design or Diversity Admin and recap Design or diversity Y. Richard Yang 9/2/212 2 Admin Assignment 1 questions Assignment 1 oice hours Thursday 3-4 @ AKW 37A Channel characteristics
More informationEEM 306 Introduction to Communications
EEM 306 Introduction to Communications Lecture 5 Department o Electrical and Electronics Engineering Anadolu University April 8, 2014 Lecture 5 1/20 Last Time Bandpass Systems Phase and Group Delay Introduction
More informationChapter 6: Introduction to Digital Communication
93 Chapter 6: Introduction to Digital Communication 6.1 Introduction In the context o this course, digital communications include systems where relatively high-requency analog carriers are modulated y
More informationSampling and Multirate Techniques for Complex and Bandpass Signals
Sampling and Multirate Techniques or Complex and Bandpass Signals TLT-586/IQ/1 M. Renors, TUT/DCE 21.9.21 Sampling and Multirate Techniques or Complex and Bandpass Signals Markku Renors Department o Communications
More informationLock-In Amplifiers SR510 and SR530 Analog lock-in amplifiers
Lock-In Ampliiers SR510 and SR530 Analog lock-in ampliiers SR510/SR530 Lock-In Ampliiers 0.5 Hz to 100 khz requency range Current and voltage inputs Up to 80 db dynamic reserve Tracking band-pass and line
More informationNonlinear FM Waveform Design to Reduction of sidelobe level in Autocorrelation Function
017 5 th Iranian Conerence on Electrical (ICEE) Nonlinear FM Waveorm Design to Reduction o sidelobe level in Autocorrelation Function Roohollah Ghavamirad Department o Electrical K. N. Toosi University
More informationDARK CURRENT ELIMINATION IN CHARGED COUPLE DEVICES
DARK CURRENT ELIMINATION IN CHARGED COUPLE DEVICES L. Kňazovická, J. Švihlík Department o Computing and Control Engineering, ICT Prague Abstract Charged Couple Devices can be ound all around us. They are
More informationFunctional Description of Algorithms Used in Digital Receivers
> REPLACE THIS LINE WITH YOUR PAPER IDENTIFICATION NUMBER (DOUBLE-CLICK HERE TO EDIT) < 1 Functional Description o Algorithms Used in Digital Receivers John Musson #, Old Dominion University, Norolk, VA
More informationDSP APPLICATION TO THE PORTABLE VIBRATION EXCITER
DSP PPLICTION TO THE PORTBLE VIBRTION EXCITER W. Barwicz 1, P. Panas 1 and. Podgórski 2 1 Svantek Ltd., 01-410 Warsaw, Poland Institute o Radioelectronics, Faculty o Electronics and Inormation Technology
More informationMcGill University. Department. of Electrical and Computer Engineering. Communications systems A
McGill University Department. o Electrical and Computer Engineering Communications systems 304-411A 1 The Super-heterodyne Receiver 1.1 Principle and motivation or the use o the super-heterodyne receiver
More informationAnalog Frequency Synthesizers: A Short Tutorial. IEEE Distinguished Lecture SSCS, Dallas Chapter
Analog Frequency Synthesizers: A Short Tutorial IEEE Distinguished Lecture SSCS, Dallas Chapter Michael H. Perrott April 2013 Copyright 2013 by Michael H. Perrott All rights reserved. What is a Phase-Locked
More informationOverexcitation protection function block description
unction block description Document ID: PRELIMIARY VERSIO ser s manual version inormation Version Date Modiication Compiled by Preliminary 24.11.2009. Preliminary version, without technical inormation Petri
More informationICT 5305 Mobile Communications. Lecture - 3 April Dr. Hossen Asiful Mustafa
ICT 5305 Mobile Communications Lecture - 3 April 2016 Dr. Hossen Asiul Mustaa Advanced Phase Shit Keying Q BPSK (Binary Phase Shit Keying): bit value 0: sine wave bit value 1: inverted sine wave very simple
More informationECE 5655/4655 Laboratory Problems
Assignment #4 ECE 5655/4655 Laboratory Problems Make Note o the Following: Due Monday April 15, 2019 I possible write your lab report in Jupyter notebook I you choose to use the spectrum/network analyzer
More informationMusic Technology Group, Universitat Pompeu Fabra, Barcelona, Spain {jordi.bonada,
GENERATION OF GROWL-TYPE VOICE QUALITIES BY SPECTRAL MORPHING Jordi Bonada Merlijn Blaauw Music Technology Group, Universitat Pompeu Fabra, Barcelona, Spain Email: {jordi.bonada, merlijn.blaauw}@up.edu
More informationA temperature insensitive quartz resonator force sensor
Meas. Sci. Technol. 11 (2000) 1565 1569. Printed in the UK PII: S0957-0233(00)15873-4 A temperature insensitive quartz resonator orce sensor Zheyao Wang, Huizhong Zhu, Yonggui Dong and Guanping Feng Department
More informationzt ( ) = Ae find f(t)=re( zt ( )), g(t)= Im( zt ( )), and r(t), and θ ( t) if z(t)=r(t) e
Homework # Fundamentals Review Homework or EECS 562 (As needed or plotting you can use Matlab or another sotware tool or your choice) π. Plot x ( t) = 2cos(2π5 t), x ( t) = 2cos(2π5( t.25)), and x ( t)
More informationDesign Project: Audio tone control
Design Project: Audio tone control This worksheet and all related iles are licensed under the Creative Commons Attribution License, version 1.0. To view a copy o this license, visit http://creativecommons.org/licenses/by/1.0/,
More informationConsumers are looking to wireless
Phase Noise Eects on OFDM Wireless LAN Perormance This article quantiies the eects o phase noise on bit-error rate and oers guidelines or noise reduction By John R. Pelliccio, Heinz Bachmann and Bruce
More informationOptimization of the apodization strength for linearly chirped Bragg grating dispersion compensators in optical fiber communications links
Optimization o the apodization strength or linearly chirped Bragg grating dispersion compensators in optical iber communications links P. FERNÁNDEZ, J.C. AGUADO, J. BAS, F. GONZÁEZ, I. DE MIGUE, J. DURÁN,
More informationTIME-FREQUENCY ANALYSIS OF NON-STATIONARY THREE PHASE SIGNALS. Z. Leonowicz T. Lobos
Copyright IFAC 15th Triennial World Congress, Barcelona, Spain TIME-FREQUENCY ANALYSIS OF NON-STATIONARY THREE PHASE SIGNALS Z. Leonowicz T. Lobos Wroclaw University o Technology Pl. Grunwaldzki 13, 537
More informationM-ary phase position shift keying with orthogonal signalling
IET Communications Research Article M-ary phase position shit keying with orthogonal signalling ISSN 1751-868 Received on 5th June 014 Revised on 31st March 015 Accepted on 4th April 015 doi: 10.1049/iet-com.014.0556
More informationFrequency Hopped Spread Spectrum
FH- 5. Frequency Hopped pread pectrum ntroduction n the next ew lessons we will be examining spread spectrum communications. This idea was originally developed or military communication systems. However,
More informationLinear Time-Invariant Systems
Linear Time-Invariant Systems Modules: Wideband True RMS Meter, Audio Oscillator, Utilities, Digital Utilities, Twin Pulse Generator, Tuneable LPF, 100-kHz Channel Filters, Phase Shifter, Quadrature Phase
More informationExploring QAM using LabView Simulation *
OpenStax-CNX module: m14499 1 Exploring QAM using LabView Simulation * Robert Kubichek This work is produced by OpenStax-CNX and licensed under the Creative Commons Attribution License 2.0 1 Exploring
More informationSolid State Relays & Its
Solid State Relays & Its Applications Presented By Dr. Mostaa Abdel-Geliel Course Objectives Know new techniques in relay industries. Understand the types o static relays and its components. Understand
More informationPerformance of LTE Linear MIMO Detectors: Achievable Data Rates and Complexity
Perormance o LTE Linear MIMO Detectors: Achievable Data Rates and Complexity Dragan Samardzija, Milos Pilipovic, Dusica Marijan, Jaroslav Farkas, Miodrag Temerinac University o Novi Sad Novi Sad, Serbia
More informationMFCC-based perceptual hashing for compressed domain of speech content identification
Available online www.jocpr.com Journal o Chemical and Pharmaceutical Research, 014, 6(7):379-386 Research Article ISSN : 0975-7384 CODEN(USA) : JCPRC5 MFCC-based perceptual hashing or compressed domain
More informationIntroduction to Interferometry. Michelson Interferometer. Fourier Transforms. Optics: holes in a mask. Two ways of understanding interferometry
Introduction to Interferometry P.J.Diamond MERLIN/VLBI National Facility Jodrell Bank Observatory University of Manchester ERIS: 5 Sept 005 Aim to lay the groundwork for following talks Discuss: General
More information6.976 High Speed Communication Circuits and Systems Lecture 16 Noise in Integer-N Frequency Synthesizers
6.976 High Speed Communication Circuits and Systems Lecture 16 in Integer-N Frequency Synthesizers Michael Perrott Massachusetts Institute o Technology Copyright 23 by Michael H. Perrott Frequency Synthesizer
More informationRefractive Power of a Surface. Exposure Sources. Thin Lenses. Thick Lenses. High Pressure Hg Arc Lamp Spectrum
eractive Power o a Surace The reractive power P is measured in diopters when the radius is expressed in meters. n and n are the reractive indices o the two media. EE-57: icrofabrication n n P n n Exposure
More informationGalileo E5a/E5b and GPS L5 Acquisition Time Statistical Characterization and Application to Civil Aviation
Galileo E5a/E5b and GS L5 Acquisition Time Statistical Characterization and Application to Civil Aviation Frederic Bastide, ENAC/STNA/TeSA, France BIOGRAHY Frederic Bastide graduated as an electronics
More informationCOMP 558 lecture 5 Sept. 22, 2010
Up to now, we have taken the projection plane to be in ront o the center o projection. O course, the physical projection planes that are ound in cameras (and eyes) are behind the center o the projection.
More informationSolution to Chapter 4 Problems
Solution to Chapter 4 Problems Problem 4.1 1) Since F[sinc(400t)]= 1 modulation index 400 ( f 400 β f = k f max[ m(t) ] W Hence, the modulated signal is ), the bandwidth of the message signal is W = 00
More informationA discrete resampling technique to correct for Doppler effect in continuous gravitational wave search
Journal of Physics: Conference Series A discrete resampling technique to correct for Doppler effect in continuous gravitational wave search To cite this article: S Braccini et al 2010 J. Phys.: Conf. Ser.
More informationPreprint. This is the submitted version of a paper published in Electronic environment.
http://www.diva-portal.org Preprint This is the submitted version o a paper published in Electronic environment. Citation or the original published paper (version o record): Stranneb, D. (0) A Primer on
More informationELEC3106 Electronics. Lecture notes: non-linearity and noise. Objective. Non-linearity. Non-linearity measures
ELEC316 Electronics Lecture notes: non-linearity and noise Objective The objective o these brie notes is to supplement the textbooks used in the course on the topic o non-linearity and electrical noise.
More informationPotentiostat stability mystery explained
Application Note #4 Potentiostat stability mystery explained I- Introduction As the vast majority o research instruments, potentiostats are seldom used in trivial experimental conditions. But potentiostats
More informationPiecewise Mapping in HEVC Lossless Intraprediction
Piecewise Mapping in HEVC Lossless Intraprediction Coding Victor Sanchez Member IEEE Francesc Aulí-Llinàs Senior Member IEEE and Joan Serra-Sagristà Senior Member IEEE Abstract The lossless intra-prediction
More informationObjectives. Presentation Outline. Digital Modulation Lecture 03
Digital Modulation Lecture 03 Inter-Symbol Interference Power Spectral Density Richard Harris Objectives To be able to discuss Inter-Symbol Interference (ISI), its causes and possible remedies. To be able
More informationDetermination of Pitch Range Based on Onset and Offset Analysis in Modulation Frequency Domain
Determination o Pitch Range Based on Onset and Oset Analysis in Modulation Frequency Domain A. Mahmoodzadeh Speech Proc. Research Lab ECE Dept. Yazd University Yazd, Iran H. R. Abutalebi Speech Proc. Research
More informationDEVELOPMENT OF CARRIER-PHASE-BASED TWO-WAY SATELLITE TIME AND FREQUENCY TRANSFER (TWSTFT)
36 th Annual Precise Time and Time Interval (PTTI Meeting DEVELOPMENT OF CARRIER-PHASE-BASED TWO-WAY SATELLITE TIME AND FREQUENCY TRANSFER (TWSTFT Blair Fonville, Demetrios Matsakis Time Service Department
More informationA Wavelet Approach to Wideband Spectrum Sensing for Cognitive Radios
A Wavelet Approach to Wideband Spectrum Sensing or Cognitive Radios Zhi Tian Department o Electrical & Computer Engineering Michigan Technological University Houghton, MI 4993 USA ztian@mtu.edu Georgios
More informationCyclostationarity-Based Spectrum Sensing for Wideband Cognitive Radio
9 International Conerence on Communications and Mobile Computing Cyclostationarity-Based Spectrum Sensing or Wideband Cognitive Radio Qi Yuan, Peng Tao, Wang Wenbo, Qian Rongrong Wireless Signal Processing
More information