REDUCING THE PEAK TO AVERAGE RATIO OF MULTICARRIER GSM AND EDGE SIGNALS
|
|
- Colleen Norma Gardner
- 5 years ago
- Views:
Transcription
1 REDUCING THE PEAK TO AVERAGE RATIO OF MULTICARRIER GSM AND EDGE SIGNALS Olli Väänänen, Jouko Vankka and Kari Halonen Electronic Circuit Design Laboratory, Helsinki University of Technology, Otakaari 5A, FIN-215 Espoo, Finland Abstract - In conventional base station solutions, the carriers transmitted are combined after the poer amplifiers. An alternative to this is to combine the carriers in the digital domain. The major draback of the digital carrier combining is a strongly varying envelope of the composite signal. The high PAR sets strict requirements for the linearity of the poer amplifier. High linearity requirements for the poer amplifier leads to lo poer efficiency and therefore to high poer consumption. In this paper, the possibility of reducing the PAR by clipping is investigated in to cases, GSM and EDGE. - GSM, EDGE, Multicarrier, Clipping, Peak in- Keyords doing. I. INTRODUCTION The Global System for Mobile communication (GSM) is a idespread second generation system hich uses the.3 Gaussian Minimum Shift Keying (GMSK) modulation. The advantage of this modulation method is the constant envelope signal hich makes it possible to use poer efficient poer amplifiers (PAs). Enhanced Data rates for GSM Evolution (EDGE) is an enhancement to GSM system. The primary objective for the EDGE signal is to triple the on-air data rate hile meeting essentially the same bandidth occupancy as the original.3 GMSK signal. The EDGE system uses 3π/8-shifted 8-Phase Shift Keying (PSK) modulation hich is not a constant envelope modulation. In conventional base station solutions, the carriers transmitted are combined after the poer amplifiers. An alternative to this is to combine the carriers in the digital Intermediate Frequency (IF) domain [1] [2]. This saves a large number of analog components and because there is no analog I/Q modulator, many problems e.g. dc offset can be avoided. The major draback of the digital carrier combining is a strongly varying envelope of the composite signal. When a number of carriers are combined, according to the central limit theorem the envelope of the composite signal becomes normally distributed ith a high peak to average ratio (PAR). Typically the PAR is measured by the Crest Factor (CF) defined as CF = 1log 1 ( max{x(t) 2 } E[x(t) 2 ] ), (1) here x(t) is the composite signal. The high PAR sets strict requirements for the linearity of the poer amplifier. In order to limit the adjacent channel leakage, it is desirable for the poer amplifier to operate in its linear region. High linearity requirements for the poer amplifier leads to lo poer efficiency and, therefore, to high poer consumption (class A amplifier). An alternative to the expense of a ide-dynamic-range poer amplifier is the use of deliberate clipping to distort the signal digitally. Several clipping techniques for other modulation methods hich suffer from high PAR (OFDM, CDMA) is proposed. In this paper, at first the properties of the GSM and EDGE multicarrier signals are discussed and then conventional IF clipping and indoing method [3] [4] is applied in both cases. II. SIGNAL MODEL In both cases, GSM and EDGE, a single carrier IF signal is generated using the burst format specified in [5]. Length of the test signal is 7 data bursts hich corresponds to 26 samples at IF frequency. The oversampling ratio of 24 is used at the IF. This corresponds to 65 MHz sampling frequency in the digital modulator because the symbol rate in the GSM/EDGE is ksym/s. Multicarrier signal is generated by combining several single carrier signals at IF using 6 khz channel spacing. All combined signals are generated using independent random data and the initial phases of the carriers are chosen randomly. The Crest Factor of the real valued single carrier GSM IF signal is approximately equal to the Crest Factor of the sinusoidal signal, 3.1 db. Simulations have shon that the Crest Factor of the corresponding EDGE signal is about 6.18 db. If all the carriers are assumed to be statistically independent, the poer of the composite signal is doubled hen the number of carriers is doubled. In the orst case, all the carriers reach their maximum simultaneously, hich means that hen the number of carriers is doubled, the maximum of the composite signal is doubled and the peak poer is multiplied by four. In this case the PAR is doubled and the Crest Factor is increased about 3 db. In reality, it is very unlikely that all the carriers have their maximum simultaneously, and the Crest Factor does not increase as much as predicted. Simulated Crest Factors for composite signals ith different numbers of carriers are presented in Table I. The results sho that the Crest Factor does not increase as much as in the orst possible case but anyay, for a large number of carriers it becomes very high in both cases, GSM and EDGE. In the future, it is possible to transmit the GSM and EDGE signals simultaneously using the same poer amplifier. The Crest Factor of the signal ith 16 carriers hen the number of EDGE carriers is varied is presented in Table II /2/$ IEEE PIMRC 22
2 TABLE I Simulated Crest Factors for signals ith different number of carriers Number of carriers CF GSM CF EDGE db db db db db db db db db db db db TABLE II Crest Factor of the the signal ith 16 carriers hen the number of EDGE carriers is varied Number of CF EDGE carriers db db db db db III. CLIPPING METHODS The conventional IF clipping can be expressed mathematically as A x > A y = x x A (2) A x < A, here x is the unclipped signal, A is the maximum amplitude alloed and y is the clipped version of signal x. It is obvious that as a nonlinear operation the clipping distorts the signal significantly and generates unanted poer to the adjacent channels. One possible solution to this problem is to smooth the sharp corners caused by clipping. This can be done by multiplying the signal to be clipped ith a indo function [3] [4]. Conventional clipping can be expressed as a multiplication here y(n) = c(n)x(n), (3) { 1, x(n) A c(n) = A, x(n) > A, x(n) and A is the maximum amplitude alloed for the clipped signal. The idea of the indoing method is to replace the function c(n) ith the function b(n) = 1 k= (4) a(k)(n k), (5) here (n) is the indo function and a(k) is a eighting coefficient. A practical algorithm for forming the function b(n), presented in [6], is used in simulations. The algorithm is as follos. To achieve the anted clipping level the function b(n) must satisfy the inequality 1 k= a(k)(n k) c(n), (6) for all n. To minimise the distortion, inequality (6) must be as near to equality as possible. The difference beteen c(n) and b(n) depends on the indo length W defined as a number of samples (n) hich are not equal to zero, and eighting coefficients a(k). The spectral properties of the clipped signal depend on the indo length W and choosing the W is a trade off beteen the distortion in the time domain and the spectral regroth. After the W is chosen, the eighting coefficients a(k) must be optimised. If it is assumed that clipping probability and indo length are so lo that the indos do not overlap in the time domain the easiest ay to form the function b(n) is to find the part a(k)(n k) (7) k= by convolving the function 1 c(n) ith the indo (n), hen b(n) becomes b(n) = 1 k= [1 c(k)](n k). (8) The convolution can be implemented as a Finite Impulse Response (FIR) filter structure. The ideal convolution is not physically realizable, since it is non-causal and of infinite duration. In order to create a realizable filter, the impulse response i.e. the indo must be truncated and shifted to make the system causal. If the indo function is symmetric then the FIR filter has symmetric impulse response (k) = (W 1 k). In a real system indos unfortunately overlap and as a result of convolution the signal is clipped much more than needed. In the orst case the sign of function b(n) may become negative, hich is fatal for the system. Hence another ay to form the function b(n) must be found. A simple solution to the problem mentioned above is to combine the conventional FIR structure ith a feedback structure hich scales don the incoming value if necessary. The proposed structure is presented in Fig. 1. In Fig. 1, denotes floor operation. The impulse response of the filter (coefficients n ) is equal to the indo function. The previous values are used for calculating a correction term hich can be subtracted from input hile the output still satisfies (6). If the correction term is larger than the input value, signal y (Fig. 1) becomes negative after the subtraction, hich leads to an unanted clipping result. This is prevented by adding a block hich replaces the negative values ith zeros. IV. RESULTS The clipped signal must fulfil the system specifications [7]. In the case of GSM the signal quality is measured by phase
3 c(n) 1 y /2 +1 /2 +2 / max(y,) Z -1-1 Z Z -1 Z -1-1 Z Z -1-1 Z Bandidth 3 khz Bandidth 1 khz placements 1 2 Fig. 1. FIR filter structure ith feedback. 1 b(n) /2-1 / unclipped clipped Hanning Blackman error, and in the case of EDGE the signal quality is measured by Error Vector Magnitude (EVM). In both cases the spectrum of the signal must fit in the spectrum mask. Fig. 2. Spectrum of the GSM signal hen different clipping methods are used. A. GSM At first different indo types are compared. The spectrum of the unclipped signal, the spectrum of the clipped signal and the spectrums of the indoed signals are presented in Fig. 2. Results for Hanning and Blackman indos are presented. Also other common indo functions i.e. Kaiser, Hamming and Gaussian are investigated and the Hanning and Blackman indos are found to be better than the other indos. The test signal consists of 16 carriers and the Crest Factor of the unclipped signal is db. In every case, the signal is clipped so that the Crest Factor becomes 1 db. Fig. 2 shos that the conventional clipping causes very high out of band radiation and therefore it is not applicable in the case of GSM transmission. The Blackman indo seems to give better spectral properties than the Hanning indo. The effect of the indo length used is presented in Fig. 3 and in Table III. The Crest Factor of the test signal is clipped to 12 db. In this example, the indo length of 24 corresponds to the length of one symbol (oversampling ratio of 24 is used). It is obvious that a long indo gives better spectral properties than a short indo, but the interesting result is that the long indo gives better phase error performance than a short indo. This is surprising because hen the indo length increases the difference beteen the transmitted and the ideal aveform increases and therefore, intuitively, the phase error should increase. The achieved Crest Factor reduction ( CF), in the case of 8, 16 and 32 carriers is presented in Table IV. The used indo length is 61 and the clipping level is set so that the spectrum is the limiting element. The results sho that the Crest Factor of the multicarrier GSM signal can be reduced significantly hile the distortion is still kept in a tolerable level. The phase error specifications are 5 for rms and 2 for peak error [7]. In practice, implementing the indoing algorithm presented in [6] ith indo length of 61 might be very difficult and lead to a high area and poer consumption in the circuit implementation. Bandidth 3 khz Bandidth 1 khz Fig. 3. Spectrum of the GSM signal as a function of the indo length. TABLE III Phase error of the GSM signal as a function of the indo length. Windo length rms peak B. EDGE Again different indo types are compared. The spectrum of the unclipped signal, the spectrum of the clipped signal and the spectrums of the indoed signals are presented in Fig. 4. To different indos, Hanning and Blackman are used. The test signal consists of 16 carriers and the Crest Factor of the unclipped signal is db. In every case, the signal is clipped
4 TABLE IV Crest Factor reduction in the case of multicarrier GSM signal. number of CF CF rms peak carriers db db db 4.51 db db db Bandidth 3 khz Bandidth 1 khz unclipped clipped Hanning Blackman so that the Crest Factor becomes 12 db. Fig. 4 shos that as earlier, the conventional clipping causes very high out of band radiation and therefore it is not applicable in the case of EDGE transmission. The Blackman indo seems to give better spectral properties than the Hanning indo. The effect of the used indo length is presented in Fig. 5 and in Table V. The Crest Factor of the test signal is clipped one decibel. The longer indo gives a better spectral behaviour but the EVM becomes high. A indo long enough to meet the spectral specifications, causes EVM hich is very near or above the EVM specifications, 7% for rms and 24% for peak value [7]. In a real digital modulator EVM this high cannot be tolerated because some margin must be left for the folloing analogue parts. As a conclusion it can be said that neither of the clipping methods discussed in this paper can be used for EDGE clipping. Even one decibel reduction in the Crest Factor leads to an intolerable error. Generally, EDGE signal seems to be very sensitive for clipping errors hich makes the Crest Factor reduction a very challenging problem. The reason for the poor performance of the EDGE clipping is that the clipping seems to affect more to the amplitude of the signal than the phase of the signal. Because the distortion in the case of EDGE signal is measured by both, amplitude error and phase error, the error metric EVM becomes high. In the case of GSM clipping the error is measured by phase error only and therefore the signal can be clipped significantly. If e donconvert the clipped GSM signal and divide it to the in phase and quadrature branches and calculate the EVM as it is done in the case of EDGE, it can be seen that hile the phase error remains lo the EVM can be high. For the signal ith.19 degrees rms and.88 degrees peak phase error, the corresponding EVM values are 5.4% and 19.6% respectively. TABLE V EVM of the clipped EDGE signal as a function of the indo length. Windo length rms EVM peak EVM % % % % % % % % Fig. 4. Spectrum of the EDGE signal hen different clipping methods are used. Bandidth 3 khz Bandidth 1 khz Fig. 5. Spectrum of the clipped EDGE signal as a function of the indo length. C. GSM/EDGE As it is shon earlier the EDGE clipping is much more complicated than the GSM clipping so it can be assumed that hen the GSM and EDGE carriers are transmitted simultaneously, performance of the EDGE signals restricts the clipping. When a signal ith 15 GSM carriers and one EDGE carrier is clipped by using the indoing method, the Crest Factor is reduced about 1.5 db from db to db. In this case the rms EVM is 3.1 % and the peak EVM is 21.5 %, hich fulfil the specifications but are intolerable high. When the number of the EDGE carriers is varied the results are of the same kind, especially the peak EVM seems to be problematic. V. CONCLUSIONS To different clipping methods, conventional clipping and indoing method, are applied to GSM and EDGE multicar
5 rier signals in order to reduce the Crest Factor. In the case of GSM, the indoing method is shon to be efficient and the Crest Factor is reduced significantly hile the distortion is still kept in a tolerable level. In the case of EDGE, both clipping methods are proved to be inapplicable. REFERENCES [1] J. Vankka, J. Ketola, O. Väänänen, J. Sommarek, M. Kosunen and K. Halonen, A GSM/EDGE/WCDMA Modulator ith On-Chip D/A Converter for Base Station, ISSCC Digest of Technical Papers, February 3-7, 22, San Francisco, USA, pp [2] J. Vankka, J. Pyykönen, J. Sommarek, M. Honkanen, and Kari Halonen, A Multicarrier GMSK Modulator for Base Station, ISSCC Digest of Technical Papers, February 5-7, 21, San Francisco, USA, pp [3] Richard van Nee and Arnout de Wild, Reducing the Peakto-Average Poer Ratio of OFDM, Vehicular Technology Conference, 1998, Page(s): vol.3. [4] M. Pauli and H.-P, Kuchenbecker, Minimization of the Intermodulation Distortion of a Nonlinearly Amplified OFDM Signal, Wireless Personal Communications 4: Page(s) 9-11, [5] Digital cellular telecommunications system (Phase 2+); Modulation (GSM 5.4) V8.1. European telecommunications Standards Institute [6] O. Väänänen, J. Vankka and K. Halonen, Effect of Clipping in Wideband CDMA System and Simple Algorithm for Peak Windoing, World Wireless Congress, May 28-31, 22, San Francisco, USA, pp [7] Digital cellular telecommunications system (Phase 2+); Radio Transmission and reception (GSM 5.5) V8.3. European telecommunications Standards Institute 1999.
A Multicarrier GMSK Modulator
1070 IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, VOL. 19, NO. 6, JUNE 2001 A Multicarrier GMSK Modulator Jouko Vankka, Student Member, IEEE, Mauri Honkanen, and Kari A. I. Halonen Abstract A multicarrier
More informationInternational Journal of Scientific & Engineering Research, Volume 6, Issue 5, May-2015 ISSN
172 WIRELESS BASE STATION WITH REDUCED CREST FACTOR Manoj Gupta 1, Hamid Ali 2 professormanojgupta @gmail.com 1, aman.155002@gmail.com 2 Shobhit University Meerut Abstract:In this paper computationally
More information1 Local oscillator requirements
978-0-51-86315-5 - Integrated Frequency Synthesizers for Wireless Systems 1 Local oscillator requirements 1 Personal ireless communications have represented, for the microelectronic industry, the market
More informationAlgorithm to Improve the Performance of OFDM based WLAN Systems
International Journal of Computer Science & Communication Vol. 1, No. 2, July-December 2010, pp. 27-31 Algorithm to Improve the Performance of OFDM based WLAN Systems D. Sreenivasa Rao 1, M. Kanti Kiran
More information(i) Understanding of the characteristics of linear-phase finite impulse response (FIR) filters
FIR Filter Design Chapter Intended Learning Outcomes: (i) Understanding of the characteristics of linear-phase finite impulse response (FIR) filters (ii) Ability to design linear-phase FIR filters according
More information(i) Understanding of the characteristics of linear-phase finite impulse response (FIR) filters
FIR Filter Design Chapter Intended Learning Outcomes: (i) Understanding of the characteristics of linear-phase finite impulse response (FIR) filters (ii) Ability to design linear-phase FIR filters according
More informationELT Receiver Architectures and Signal Processing Fall Mandatory homework exercises
ELT-44006 Receiver Architectures and Signal Processing Fall 2014 1 Mandatory homework exercises - Individual solutions to be returned to Markku Renfors by email or in paper format. - Solutions are expected
More informationFPGA Implementation of PAPR Reduction Technique using Polar Clipping
International Journal of Engineering Inventions e-issn: 2278-7461, p-issn: 2319-6491 Volume 2, Issue 11 (July 2013) PP: 16-20 FPGA Implementation of PAPR Reduction Technique using Polar Clipping Kiran
More informationIJMIE Volume 2, Issue 4 ISSN:
Reducing PAPR using PTS Technique having standard array in OFDM Deepak Verma* Vijay Kumar Anand* Ashok Kumar* Abstract: Orthogonal frequency division multiplexing is an attractive technique for modern
More informationPerformance Evaluation for OFDM PAPR Reduction Methods
Performance Evaluation for OFDM PAPR Reduction s YING LI YI-YI YEW Communications Engineering Department Yuan Ze University 135 Yuan Tong Road, Chungli, Taoyuan 32026 TAIWAN Abstract: - The ultimate goal
More informationSuccessful mobile-radio tester now with US TDMA and AMPS standards
Universal Radio Communication Tester CMU200 Successful mobile-radio tester now with US TDMA and AMPS standards Digital TDMA standard TDMA (time-division multiple access) is a mobile-radio system based
More informationChapter 4 SPEECH ENHANCEMENT
44 Chapter 4 SPEECH ENHANCEMENT 4.1 INTRODUCTION: Enhancement is defined as improvement in the value or Quality of something. Speech enhancement is defined as the improvement in intelligibility and/or
More informationFrom 2G to 4G UE Measurements from GSM to LTE. David Hall RF Product Manager
From 2G to 4G UE Measurements from GSM to LTE David Hall RF Product Manager Agenda: Testing 2G to 4G Devices The progression of standards GSM/EDGE measurements WCDMA measurements LTE Measurements LTE theory
More informationReduction of PAR and out-of-band egress. EIT 140, tom<at>eit.lth.se
Reduction of PAR and out-of-band egress EIT 140, tomeit.lth.se Multicarrier specific issues The following issues are specific for multicarrier systems and deserve special attention: Peak-to-average
More informationRF POWER AMPLIFIERS. Alireza Shirvani SCV SSCS RFIC Course
RF POWER AMPLIFIERS Alireza Shirvani SCV SSCS RFIC Course Mobile and Base Stations in a Wireless System RF Power Amplifiers Function: Delivering RF Power to the Antenna Performance Metrics Output Power
More informationADAPTIVE RECEIVE FILTER STRUCTURES FOR UMTS
Proceedings of SPS-DARTS 06 (the 06 The second annual IEEE BENELUX/DSP Valley Signal Processing Symposium) ADAPTIVE RECEIVE FILTER STRUCTURES FOR UMTS 1,2 Jordy Potman, 2 Fokke W. Hoeksema and 2 Cornelis
More informationDesign of FIR Filters
Design of FIR Filters Elena Punskaya www-sigproc.eng.cam.ac.uk/~op205 Some material adapted from courses by Prof. Simon Godsill, Dr. Arnaud Doucet, Dr. Malcolm Macleod and Prof. Peter Rayner 1 FIR as a
More informationMeasuring ACPR of W-CDMA signals with a spectrum analyzer
Measuring ACPR of W-CDMA signals with a spectrum analyzer When measuring power in the adjacent channels of a W-CDMA signal, requirements for the dynamic range of a spectrum analyzer are very challenging.
More informationKeysight Technologies 8 Hints for Making Better Measurements Using RF Signal Generators. Application Note
Keysight Technologies 8 Hints for Making Better Measurements Using RF Signal Generators Application Note 02 Keysight 8 Hints for Making Better Measurements Using RF Signal Generators - Application Note
More informationChapter 3 Communication Concepts
Chapter 3 Communication Concepts 1 Sections to be covered 3.1 General Considerations 3.2 Analog Modulation 3.3 Digital Modulation 3.4 Spectral Regrowth 3.7 Wireless Standards 2 Chapter Outline Modulation
More informationPIECEWISE LINEAR ITERATIVE COMPANDING TRANSFORM FOR PAPR REDUCTION IN MIMO OFDM SYSTEMS
PIECEWISE LINEAR ITERATIVE COMPANDING TRANSFORM FOR PAPR REDUCTION IN MIMO OFDM SYSTEMS T. Ramaswamy 1 and K. Chennakesava Reddy 2 1 Department of Electronics and Communication Engineering, Malla Reddy
More informationA new generation Cartesian loop transmitter for fl exible radio solutions
Electronics Technical A new generation Cartesian loop transmitter for fl exible radio solutions by C.N. Wilson and J.M. Gibbins, Applied Technology, UK The concept software defined radio (SDR) is much
More informationECE 556 BASICS OF DIGITAL SPEECH PROCESSING. Assıst.Prof.Dr. Selma ÖZAYDIN Spring Term-2017 Lecture 2
ECE 556 BASICS OF DIGITAL SPEECH PROCESSING Assıst.Prof.Dr. Selma ÖZAYDIN Spring Term-2017 Lecture 2 Analog Sound to Digital Sound Characteristics of Sound Amplitude Wavelength (w) Frequency ( ) Timbre
More informationCHAPTER 2 FIR ARCHITECTURE FOR THE FILTER BANK OF SPEECH PROCESSOR
22 CHAPTER 2 FIR ARCHITECTURE FOR THE FILTER BANK OF SPEECH PROCESSOR 2.1 INTRODUCTION A CI is a device that can provide a sense of sound to people who are deaf or profoundly hearing-impaired. Filters
More informationSelected answers * Problem set 6
Selected answers * Problem set 6 Wireless Communications, 2nd Ed 243/212 2 (the second one) GSM channel correlation across a burst A time slot in GSM has a length of 15625 bit-times (577 ) Of these, 825
More informationAgilent Highly Accurate Amplifier ACLR and ACPR Testing with the Agilent N5182A MXG Vector Signal Generator. Application Note
Agilent Highly Accurate Amplifier ACLR and ACPR Testing with the Agilent N5182A MXG Vector Signal Generator Application Note Introduction 1 0 0 1 Symbol encoder I Q Baseband filters I Q IQ modulator Other
More informationCorso di DATI e SEGNALI BIOMEDICI 1. Carmelina Ruggiero Laboratorio MedInfo
Corso di DATI e SEGNALI BIOMEDICI 1 Carmelina Ruggiero Laboratorio MedInfo Digital Filters Function of a Filter In signal processing, the functions of a filter are: to remove unwanted parts of the signal,
More informationClipping and Filtering Technique for reducing PAPR In OFDM
IOSR Journal of Engineering (IOSRJEN) e-issn: 2250-3021, p-issn: 2278-8719, Volume 2, Issue 9 (September 2012), PP 91-97 Clipping and Filtering Technique for reducing PAPR In OFDM Saleh Albdran 1, Ahmed
More informationKeywords: MC-CDMA, PAPR, Partial Transmit Sequence, Complementary Cumulative Distribution Function.
ol. 2, Issue4, July-August 2012, pp.1192-1196 PAPR Reduction of an MC-CDMA System through PTS Technique using Suboptimal Combination Algorithm Gagandeep Kaur 1, Rajbir Kaur 2 Student 1, University College
More informationPEAK CANCELLATION CREST FACTOR REDUCTION TECHNIQUE FOR OFDM SIGNALS
IMPACT: International Journal of Research in Engineering & Technology (IMPACT: IJRET) ISSN(E): 2321-8843; ISSN(P): 2347-4599 Vol. 3, Issue 4, Apr 2015, 27-36 Impact Journals PEAK CANCELLATION CREST FACTOR
More informationElectrical & Computer Engineering Technology
Electrical & Computer Engineering Technology EET 419C Digital Signal Processing Laboratory Experiments by Masood Ejaz Experiment # 1 Quantization of Analog Signals and Calculation of Quantized noise Objective:
More informationPERFORMANCE TO NEW THRESHOLDS
10 ELEVATING RADIO ABSTRACT The advancing Wi-Fi and 3GPP specifications are putting pressure on power amplifier designs and other RF components. Na ose i s Linearization and Characterization Technologies
More informationCo-existence. DECT/CAT-iq vs. other wireless technologies from a HW perspective
Co-existence DECT/CAT-iq vs. other wireless technologies from a HW perspective Abstract: This White Paper addresses three different co-existence issues (blocking, sideband interference, and inter-modulation)
More informationDigital Filters IIR (& Their Corresponding Analog Filters) Week Date Lecture Title
http://elec3004.com Digital Filters IIR (& Their Corresponding Analog Filters) 2017 School of Information Technology and Electrical Engineering at The University of Queensland Lecture Schedule: Week Date
More informationRECURSIVE BLIND IDENTIFICATION AND EQUALIZATION OF FIR CHANNELS FOR CHAOTIC COMMUNICATION SYSTEMS
6th European Signal Processing Conference (EUSIPCO 008), Lausanne, Sitzerland, August 5-9, 008, copyright by EURASIP RECURSIVE BLIND IDENIFICAION AND EQUALIZAION OF FIR CHANNELS FOR CHAOIC COMMUNICAION
More informationDSP Laboratory (EELE 4110) Lab#10 Finite Impulse Response (FIR) Filters
Islamic University of Gaza OBJECTIVES: Faculty of Engineering Electrical Engineering Department Spring-2011 DSP Laboratory (EELE 4110) Lab#10 Finite Impulse Response (FIR) Filters To demonstrate the concept
More informationECS455: Chapter 5 OFDM
ECS455: Chapter 5 OFDM 1 Dr.Prapun Suksompong www.prapun.com Office Hours: Library (Rangsit) Mon 16:20-16:50 BKD 3601-7 Wed 9:20-11:20 OFDM Applications 802.11 Wi-Fi: a/g/n/ac versions DVB-T (Digital Video
More informationAnalog Devices Welcomes Hittite Microwave Corporation NO CONTENT ON THE ATTACHED DOCUMENT HAS CHANGED
Analog Devices Welcomes Hittite Microwave Corporation NO CONTENT ON THE ATTACHED DOCUMENT HAS CHANGED www.analog.com www.hittite.com THIS PAGE INTENTIONALLY LEFT BLANK 17 Product Application Notes Introduction
More informationBird Model 7022 Statistical Power Sensor Applications and Benefits
Applications and Benefits Multi-function RF power meters have been completely transformed since they first appeared in the early 1990 s. What once were benchtop instruments that incorporated power sensing
More informationMC CDMA PAPR Reduction Using Discrete Logarithmic Method
International Journal of Engineering Research and Development ISSN: 2278-067X, Volume 1, Issue 4 (June 2012), PP.38-43 www.ijerd.com MC CDMA PAPR Reduction Using Discrete Logarithmic Method B.Sarala 1,
More informationRevision of Wireless Channel
Revision of Wireless Channel Quick recap system block diagram CODEC MODEM Wireless Channel Previous three lectures looked into wireless mobile channels To understand mobile communication technologies,
More informationInterleaved PC-OFDM to reduce the peak-to-average power ratio
1 Interleaved PC-OFDM to reduce the peak-to-average power ratio A D S Jayalath and C Tellambura School of Computer Science and Software Engineering Monash University, Clayton, VIC, 3800 e-mail:jayalath@cssemonasheduau
More information2002 IEEE. Reprinted with permission.
J. Vankka, J. Pyykönen, J. Sommarek, M. Honkanen and K. Halonen, A Multicarrier GMSK Modulator with On Chip D/A Converter for Base Stations, IEEE Journal of Solid State Circuits, Vol. 37, No. 10, pp. 1226
More informationCrest Factor Reduction
June 2007, Version 1.0 Application Note 396 This application note describes crest factor reduction and an Altera crest factor reduction solution. Overview A high peak-to-mean power ratio causes the following
More informationRadio Receiver Architectures and Analysis
Radio Receiver Architectures and Analysis Robert Wilson December 6, 01 Abstract This article discusses some common receiver architectures and analyzes some of the impairments that apply to each. 1 Contents
More informationPerformance analysis of OFDM with QPSK using AWGN and Rayleigh Fading Channel
Performance analysis of OFDM with QPSK using AWGN and Rayleigh Fading Channel 1 V.R.Prakash* (A.P) Department of ECE Hindustan university Chennai 2 P.Kumaraguru**(A.P) Department of ECE Hindustan university
More informationELT Receiver Architectures and Signal Processing Exam Requirements and Model Questions 2018
TUT/ICE 1 ELT-44006 Receiver Architectures and Signal Processing Exam Requirements and Model Questions 2018 General idea of these Model Questions is to highlight the central knowledge expected to be known
More informationSIGMA-DELTA CONVERTER
SIGMA-DELTA CONVERTER (1995: Pacífico R. Concetti Western A. Geophysical-Argentina) The Sigma-Delta A/D Converter is not new in electronic engineering since it has been previously used as part of many
More informationEvaluating Electromagnetic Railway Environment Using adaptive Time-Frequency Analysis
Evaluating Electromagnetic Railay Environment Using adaptive Time-Frequency Analysis Mohamed Raouf Kousr Virginie Deniau, Marc Heddebaut, Sylvie Baranoski Abstract With the current introduction of ne technologies
More informationMaking Noise in RF Receivers Simulate Real-World Signals with Signal Generators
Making Noise in RF Receivers Simulate Real-World Signals with Signal Generators Noise is an unwanted signal. In communication systems, noise affects both transmitter and receiver performance. It degrades
More informationDECIMATION FILTER FOR MULTISTANDARD WIRELESS RECEIVER SHEETAL S.SHENDE
DECIMATION FILTER FOR MULTISTANDARD WIRELESS RECEIVER SHEETAL S.SHENDE Abstract The demand for new telecommunication services requiring higher capacities, data rates and different operating modes have
More informationNew Methods for HD Radio Crest Factor Reduction and Pre-correction
New Methods for HD Radio Crest Factor Reduction and Pre-correction Featuring GatesAir s April 12, 2015 NAB Show 2015 Tim Anderson Radio Product & Business Development Manager Kevin Berndsen Senior Signal
More informationDigital Signal Analysis
Digital Signal Analysis Objectives - Provide a digital modulation overview - Review common digital radio impairments Digital Modulation Overview Signal Characteristics to Modify Polar Display / IQ Relationship
More informationLinearity Improvement Techniques for Wireless Transmitters: Part 1
From May 009 High Frequency Electronics Copyright 009 Summit Technical Media, LLC Linearity Improvement Techniques for Wireless Transmitters: art 1 By Andrei Grebennikov Bell Labs Ireland In modern telecommunication
More informationAgilent PSA Series Spectrum Analyzers Self-Guided Demonstration for GSM and EDGE Measurements
Agilent PSA Series Spectrum Analyzers Self-Guided Demonstration for GSM and EDGE Measurements Product Note This demonstration guide is a tool to help you gain familiarity with the basic functions and important
More information3/26/18. Lecture 3 EITN STRUCTURE OF A WIRELESS COMMUNICATION LINK
Lecture 3 EITN75 208 STRUCTURE OF A WIRELESS COMMUNICATION LINK 2 A simple structure Speech Data A/D Speech encoder Encrypt. Chann. encoding Modulation Key Speech D/A Speech decoder Decrypt. Chann. decoding
More informationB.Tech III Year II Semester (R13) Regular & Supplementary Examinations May/June 2017 DIGITAL SIGNAL PROCESSING (Common to ECE and EIE)
Code: 13A04602 R13 B.Tech III Year II Semester (R13) Regular & Supplementary Examinations May/June 2017 (Common to ECE and EIE) PART A (Compulsory Question) 1 Answer the following: (10 X 02 = 20 Marks)
More informationTheory of Telecommunications Networks
Theory of Telecommunications Networks Anton Čižmár Ján Papaj Department of electronics and multimedia telecommunications CONTENTS Preface... 5 1 Introduction... 6 1.1 Mathematical models for communication
More informationTESTING METHODS AND ERROR BUDGET ANALYSIS OF A SOFTWARE DEFINED RADIO By Richard Overdorf
TESTING METHODS AND ERROR BUDGET ANALYSIS OF A SOFTWARE DEFINED RADIO By Richard Overdorf SDR Considerations Data rates Voice Image Data Streaming Video Environment Distance Terrain High traffic/low traffic
More informationDigital data (a sequence of binary bits) can be transmitted by various pule waveforms.
Chapter 2 Line Coding Digital data (a sequence of binary bits) can be transmitted by various pule waveforms. Sometimes these pulse waveforms have been called line codes. 2.1 Signalling Format Figure 2.1
More informationQUESTION BANK SUBJECT: DIGITAL COMMUNICATION (15EC61)
QUESTION BANK SUBJECT: DIGITAL COMMUNICATION (15EC61) Module 1 1. Explain Digital communication system with a neat block diagram. 2. What are the differences between digital and analog communication systems?
More informationUSE OF MATLAB IN SIGNAL PROCESSING LABORATORY EXPERIMENTS
USE OF MATLAB SIGNAL PROCESSG LABORATORY EXPERIMENTS R. Marsalek, A. Prokes, J. Prokopec Institute of Radio Electronics, Brno University of Technology Abstract: This paper describes the use of the MATLAB
More informationAn Adaptive Adjacent Channel Interference Cancellation Technique
SJSU ScholarWorks Faculty Publications Electrical Engineering 2009 An Adaptive Adjacent Channel Interference Cancellation Technique Robert H. Morelos-Zaragoza, robert.morelos-zaragoza@sjsu.edu Shobha Kuruba
More informationReducing Intercarrier Interference in OFDM Systems by Partial Transmit Sequence and Selected Mapping
Reducing Intercarrier Interference in OFDM Systems by Partial Transmit Sequence and Selected Mapping K.Sathananthan and C. Tellambura SCSSE, Faculty of Information Technology Monash University, Clayton
More informationPresentation Title Goes Here
Get More LTE with TI s DSP and Analog Solutions Presentation Title Goes Here Kathy Brown General Manager Wireless Basestation Infrastructure Dave Briggs General Manager RF and Radio Products Meeting demands
More information16QAM Symbol Timing Recovery in the Upstream Transmission of DOCSIS Standard
IEEE TRANSACTIONS ON BROADCASTING, VOL. 49, NO. 2, JUNE 2003 211 16QAM Symbol Timing Recovery in the Upstream Transmission of DOCSIS Standard Jianxin Wang and Joachim Speidel Abstract This paper investigates
More informationThe University of Texas at Austin Dept. of Electrical and Computer Engineering Final Exam
The University of Texas at Austin Dept. of Electrical and Computer Engineering Final Exam Date: December 18, 2017 Course: EE 313 Evans Name: Last, First The exam is scheduled to last three hours. Open
More informationTuesday, March 22nd, 9:15 11:00
Nonlinearity it and mismatch Tuesday, March 22nd, 9:15 11:00 Snorre Aunet (sa@ifi.uio.no) Nanoelectronics group Department of Informatics University of Oslo Last time and today, Tuesday 22nd of March:
More informationPractical issue: Group definition. TSTE17 System Design, CDIO. Quadrature Amplitude Modulation (QAM) Components of a digital communication system
1 2 TSTE17 System Design, CDIO Introduction telecommunication OFDM principle How to combat ISI How to reduce out of band signaling Practical issue: Group definition Project group sign up list will be put
More informationPeak-to-Average Power Ratio (PAPR)
Peak-to-Average Power Ratio (PAPR) Wireless Information Transmission System Lab Institute of Communications Engineering National Sun Yat-sen University 2011/07/30 王森弘 Multi-carrier systems The complex
More informationSatellite Communications: Part 4 Signal Distortions & Errors and their Relation to Communication Channel Specifications. Howard Hausman April 1, 2010
Satellite Communications: Part 4 Signal Distortions & Errors and their Relation to Communication Channel Specifications Howard Hausman April 1, 2010 Satellite Communications: Part 4 Signal Distortions
More informationDSP Based Corrections of Analog Components in Digital Receivers
fred harris DSP Based Corrections of Analog Components in Digital Receivers IEEE Communications, Signal Processing, and Vehicular Technology Chapters Coastal Los Angeles Section 24-April 2008 It s all
More informationAN ACCURATE SELF-SYNCHRONISING TECHNIQUE FOR MEASURING TRANSMITTER PHASE AND FREQUENCY ERROR IN DIGITALLY ENCODED CELLULAR SYSTEMS
AN ACCURATE SELF-SYNCHRONISING TECHNIQUE FOR MEASURING TRANSMITTER PHASE AND FREQUENCY ERROR IN DIGITALLY ENCODED CELLULAR SYSTEMS L. Angrisani, A. Baccigalupi and M. D Apuzzo 2 Dipartimento di Informatica
More informationA COMPARISON OF DIFFERENT PAPR REDUCTION TECHNIQUES IN OFDM USING VARIOUS MODULATIONS
A COMPARISON OF DIFFERENT PAPR REDUCTION TECHNIQUES IN OFDM USING VARIOUS MODULATIONS Gaurav Sikri 1 and Rajni 2 1 Lala Lajpat Rai Institute of Engineering & Technology, Moga, Punjab, India er.gaurav19@gmail.com
More informationMultiple Input Multiple Output (MIMO) Operation Principles
Afriyie Abraham Kwabena Multiple Input Multiple Output (MIMO) Operation Principles Helsinki Metropolia University of Applied Sciences Bachlor of Engineering Information Technology Thesis June 0 Abstract
More informationPart 3. Multiple Access Methods. p. 1 ELEC6040 Mobile Radio Communications, Dept. of E.E.E., HKU
Part 3. Multiple Access Methods p. 1 ELEC6040 Mobile Radio Communications, Dept. of E.E.E., HKU Review of Multiple Access Methods Aim of multiple access To simultaneously support communications between
More informationUNIT IV FIR FILTER DESIGN 1. How phase distortion and delay distortion are introduced? The phase distortion is introduced when the phase characteristics of a filter is nonlinear within the desired frequency
More informationLow Complexity Partial SLM Technique for PAPR Reduction in OFDM Transmitters
International Journal on Electrical Engineering and Informatics - Volume 5, Number 1, March 2013 Low Complexity Partial SLM Technique for PAPR Reduction in OFDM Transmitters Ibrahim Mohammad Hussain Department
More informationRESEARCH ON METHODS FOR ANALYZING AND PROCESSING SIGNALS USED BY INTERCEPTION SYSTEMS WITH SPECIAL APPLICATIONS
Abstract of Doctorate Thesis RESEARCH ON METHODS FOR ANALYZING AND PROCESSING SIGNALS USED BY INTERCEPTION SYSTEMS WITH SPECIAL APPLICATIONS PhD Coordinator: Prof. Dr. Eng. Radu MUNTEANU Author: Radu MITRAN
More informationLocal Oscillators Phase Noise Cancellation Methods
IOSR Journal of Electronics and Communication Engineering (IOSR-JECE) e-issn: 2278-2834, p- ISSN: 2278-8735. Volume 5, Issue 1 (Jan. - Feb. 2013), PP 19-24 Local Oscillators Phase Noise Cancellation Methods
More information- 1 - Rap. UIT-R BS Rep. ITU-R BS.2004 DIGITAL BROADCASTING SYSTEMS INTENDED FOR AM BANDS
- 1 - Rep. ITU-R BS.2004 DIGITAL BROADCASTING SYSTEMS INTENDED FOR AM BANDS (1995) 1 Introduction In the last decades, very few innovations have been brought to radiobroadcasting techniques in AM bands
More informationA Three-Microphone Adaptive Noise Canceller for Minimizing Reverberation and Signal Distortion
American Journal of Applied Sciences 5 (4): 30-37, 008 ISSN 1546-939 008 Science Publications A Three-Microphone Adaptive Noise Canceller for Minimizing Reverberation and Signal Distortion Zayed M. Ramadan
More informationDigital Filters FIR and IIR Systems
Digital Filters FIR and IIR Systems ELEC 3004: Systems: Signals & Controls Dr. Surya Singh (Some material adapted from courses by Russ Tedrake and Elena Punskaya) Lecture 16 elec3004@itee.uq.edu.au http://robotics.itee.uq.edu.au/~elec3004/
More informationAgilent E4406A Vector Signal Analyzer
Agilent E4406A Vector Signal Analyzer Data Sheet The Agilent Technologies E4406A vector signal analyzer (VSA) is a full-featured transmitter tester designed to meet the test needs of wireless equipment
More informationAn Overview of PAPR Reduction Techniques In Concerned with OFDM
An Overview of PAPR Reduction Techniques In Concerned with OFDM Prof. Kailas Prof.Sharan Gowda Prof.Annarao Mr.Ramchandrappa Assistant Professor Assistant Professor Assistant Professor M.Tech Scholar E&CE
More informationBehavioral Modeling of Digital Pre-Distortion Amplifier Systems
Behavioral Modeling of Digital Pre-Distortion Amplifier Systems By Tim Reeves, and Mike Mulligan, The MathWorks, Inc. ABSTRACT - With time to market pressures in the wireless telecomm industry shortened
More informationPartial Transmit Sequence (PTS)-PAPR Reduction Technique in OFDM Systems with Reduced Complexity. II. PAPR problem in OFDM system
Conference on Advances in Communication and Control Systems 2013 (CAC2S 2013) Partial Transmit Sequence (PTS)-PAPR Reduction Technique in OFDM Systems with Reduced Complexity 1 ikhil Arora (nikhilarora.geu@gmail.com)
More informationIntroduction to Envelope Tracking. G J Wimpenny Snr Director Technology, Qualcomm UK Ltd
Introduction to Envelope Tracking G J Wimpenny Snr Director Technology, Qualcomm UK Ltd Envelope Tracking Historical Context EER first proposed by Leonard Kahn in 1952 to improve efficiency of SSB transmitters
More informationSignal Processing for Digitizers
Signal Processing for Digitizers Modular digitizers allow accurate, high resolution data acquisition that can be quickly transferred to a host computer. Signal processing functions, applied in the digitizer
More informationLecture LTE (4G) -Technologies used in 4G and 5G. Spread Spectrum Communications
COMM 907: Spread Spectrum Communications Lecture 10 - LTE (4G) -Technologies used in 4G and 5G The Need for LTE Long Term Evolution (LTE) With the growth of mobile data and mobile users, it becomes essential
More informationELEC3242 Communications Engineering Laboratory Frequency Shift Keying (FSK)
ELEC3242 Communications Engineering Laboratory 1 ---- Frequency Shift Keying (FSK) 1) Frequency Shift Keying Objectives To appreciate the principle of frequency shift keying and its relationship to analogue
More informationAgilent ESG-D Series, Option UN5 Using the ESG-D RF Signal Generator s Multicarrier, Multichannel CDMA Personality for Component Test.
Agilent ESG-D Series, Option UN5 Using the ESG-D RF Signal Generator s Multicarrier, Multichannel CDMA Personality for Component Test Product Note Table of Contents 2 3 3 4 5 5 6 6 7 8 10 10 10 10 11 12
More informationME scope Application Note 01 The FFT, Leakage, and Windowing
INTRODUCTION ME scope Application Note 01 The FFT, Leakage, and Windowing NOTE: The steps in this Application Note can be duplicated using any Package that includes the VES-3600 Advanced Signal Processing
More informationDIGITAL FILTERS. !! Finite Impulse Response (FIR) !! Infinite Impulse Response (IIR) !! Background. !! Matlab functions AGC DSP AGC DSP
DIGITAL FILTERS!! Finite Impulse Response (FIR)!! Infinite Impulse Response (IIR)!! Background!! Matlab functions 1!! Only the magnitude approximation problem!! Four basic types of ideal filters with magnitude
More informationPAPR Reduction techniques in OFDM System Using Clipping & Filtering and Selective Mapping Methods
PAPR Reduction techniques in OFDM System Using Clipping & Filtering and Selective Mapping Methods Okello Kenneth 1, Professor Usha Neelakanta 2 1 P.G. Student, Department of Electronics & Telecommunication
More informationSignals. Continuous valued or discrete valued Can the signal take any value or only discrete values?
Signals Continuous time or discrete time Is the signal continuous or sampled in time? Continuous valued or discrete valued Can the signal take any value or only discrete values? Deterministic versus random
More informationEfficiently simulating a direct-conversion I-Q modulator
Efficiently simulating a direct-conversion I-Q modulator Andy Howard Applications Engineer Agilent Eesof EDA Overview An I-Q or vector modulator is a commonly used integrated circuit in communication systems.
More informationNonlinearities in Power Amplifier and its Remedies
International Journal of Electronics Engineering Research. ISSN 0975-6450 Volume 9, Number 6 (2017) pp. 883-887 Research India Publications http://www.ripublication.com Nonlinearities in Power Amplifier
More informationA New PAPR Reduction in OFDM Systems Using SLM and Orthogonal Eigenvector Matrix
A New PAPR Reduction in OFDM Systems Using SLM and Orthogonal Eigenvector Matrix Md. Mahmudul Hasan University of Information Technology & Sciences, Dhaka Abstract OFDM is an attractive modulation technique
More informationNew Techniques to Suppress the Sidelobes in OFDM System to Design a Successful Overlay System
Bahria University Journal of Information & Communication Technology Vol. 1, Issue 1, December 2008 New Techniques to Suppress the Sidelobes in OFDM System to Design a Successful Overlay System Saleem Ahmed,
More information