Communication Systems Simulation - III
|
|
- Margaret Lane
- 6 years ago
- Views:
Transcription
1 Communication Systems Simulation - III Harri Saarnisaari Part of Simulations and Tools for Telecommunication Course Random Number Generation Many simulators include random number generators you can use those These should be validated If not already accepted by your community But you always can questionnaire those, especially new generators Here we consider some aspects of validation 2 1
2 Random Number Generation Complex additive white Gaussian noise is usually met in communication simulations Used to model thermal noise Properties: I and Q channels (real and imaginary part) Zero mean I and Q independent White Flat power spectrum density (PSD) Impulsive autocorrelation (impulse at zero flag) I and Q are Gaussian 3 RNG example We use MATLAB to do some tests MATLAB has randn m-file that generates zero mean, unit variance random variables RNGs use an initial value (state, seed) from which they start This should be randomized In MATLAB (5) you may add command RANDN('state',sum(100*clock)) to your startup file to set the generator to a different state each time you start 4 2
3 RNG example %create complex white Gaussian signal with N elements N=10000; n=randn(n,1)+j*randn(n,1); Is it zero mean? %check mean MEAN=mean(n) plot([real(n) imag(n)]) legend('real','imag') title('mean of real and imaginary part') 5 The larger N is the close zero the mean is N=1000, mean i N=10 000, mean i However, if you repeat the trial several times and calculate the average the result is zero. 6 3
4 RNG example %check variance, should be 2 now since %we have a sum of two Gaussian processes with var 1 VAR=var(n) N=1000, VAR= N=10 000, VAR= The larger N is, the closer VAR is 2 7 RNG example I and Q independent, how it is measured? Cross correlation should be zero Cross correlation coefficient should be zero %check independency of I and Q %since maximum is N (if fully correlated sequences %the result is scaled by N plot(xcorr(real(n),imag(n))/n) %same is verified by calculating correlation coefficient, where %results are normalized by standard deviations XCORR=corrcoef(real(n),imag(n)) 8 4
5 N=1000 XCORR = Correlation 6 % N= XCORR = Correlation 3 % The larger N the Closer independency I and Q are 9 RNG example Whiteness? Autocorrelation impulsive PSD flat %check whiteness, %maximum autocorrelation 2N plot(abs(xcov(n))) title('autocorrelation') psd(n) %uses Welch method title('psd') 10 5
6 Quite impulsive 11 Quite flat 12 6
7 RNG example Gaussianity? Histogram Statistical tests (not considered herein) %check Gaussianity hist([real(n) imag(n)],50) %50 bars legend('real','imag') title('histograms') 13 Quite Gaussian shapes 14 7
8 Fading channels Fading channel models are used to model variations of the signal that occur in real world In system design one needs also (median) propagation loss models to predict the required transmission power for given distance, data rate and BER requirements coverage given the transmitted power, data rate and BER requirements This gives the average SNR used in BER simulations! 15 Fading channels To create fading channels you have to understand what they are In fading channels signal and possibly its delayed versions are multiplied by random (tap) coefficients a(t)s l (t), a(t) channel amplitude process In simulations, a(t) and s l (t) are discrete a(t) is a channel tap (coefficient of channel h(t)) Change rate of a(t) depends on fading rate Fast fading: changed for each symbol Slow fading: constant over a block of symbols Rayleigh fading channel Taps are zero mean, complex Gaussian variables with a variance set so that SNR is what is wanted Equally, amplitude is Rayleigh distributed and phase is uniformly distributed between 0 and 2π 16 8
9 Fading channels Rician fading channels Taps are non-zero mean complex Gaussian variables with a variance and amplitude set so that SNR is what is wanted Alternatively, amplitude is Rician distributed and phase is uniformly distributed between 0 and 2π Also other fading channels exist 17 Fading channels Changing mean and variance of a zero mean unit variance complex Gaussian variance x to m and σ 2 Multiply by σ and add m, i.e., new x = σx+m In fading channels one is usually interested the amplitude of the tap, not the phase Create taps as rayleigh * exp(j*2*pi*rand) Or rician * exp(j*2*pi*rand) Some MATLAB toolboxes include generation of Rayleigh and Rician variables, otherwise you may create them from two Gaussian variables 18 9
Wireless Communication Systems Laboratory Lab#1: An introduction to basic digital baseband communication through MATLAB simulation Objective
Wireless Communication Systems Laboratory Lab#1: An introduction to basic digital baseband communication through MATLAB simulation Objective The objective is to teach students a basic digital communication
More informationCALIFORNIA STATE UNIVERSITY, NORTHRIDGE FADING CHANNEL CHARACTERIZATION AND MODELING
CALIFORNIA STATE UNIVERSITY, NORTHRIDGE FADING CHANNEL CHARACTERIZATION AND MODELING A graduate project submitted in partial fulfillment of the requirements For the degree of Master of Science in Electrical
More informationChapter 2 Channel Equalization
Chapter 2 Channel Equalization 2.1 Introduction In wireless communication systems signal experiences distortion due to fading [17]. As signal propagates, it follows multiple paths between transmitter and
More informationAssignment 6: Solution to MATLAB code for BER generation of QPSK system over AWGN channel.
G. S. Sanyal School of Telecommunications Indian Institute of Technology Kharagpur MOOC: Spread Spectrum Communications & Jamming Assignment 6: Solution to MATLAB code for BER generation of QPSK system
More informationDigital Communications over Fading Channel s
over Fading Channel s Instructor: Prof. Dr. Noor M Khan Department of Electronic Engineering, Muhammad Ali Jinnah University, Islamabad Campus, Islamabad, PAKISTAN Ph: +9 (51) 111-878787, Ext. 19 (Office),
More information(i) Understanding the basic concepts of signal modeling, correlation, maximum likelihood estimation, least squares and iterative numerical methods
Tools and Applications Chapter Intended Learning Outcomes: (i) Understanding the basic concepts of signal modeling, correlation, maximum likelihood estimation, least squares and iterative numerical methods
More informationImpact of Mobility and Closed-Loop Power Control to Received Signal Statistics in Rayleigh Fading Channels
mpact of Mobility and Closed-Loop Power Control to Received Signal Statistics in Rayleigh Fading Channels Pekka Pirinen University of Oulu Telecommunication Laboratory and Centre for Wireless Communications
More informationMuhammad Ali Jinnah University, Islamabad Campus, Pakistan. Fading Channel. Base Station
Fading Lecturer: Assoc. Prof. Dr. Noor M Khan Department of Electronic Engineering, Muhammad Ali Jinnah University, Islamabad Campus, Islamabad, PAKISTAN Ph: +9 (51) 111-878787, Ext. 19 (Office), 186 (ARWiC
More informationSwedish College of Engineering and Technology Rahim Yar Khan
PRACTICAL WORK BOOK Telecommunication Systems and Applications (TL-424) Name: Roll No.: Batch: Semester: Department: Swedish College of Engineering and Technology Rahim Yar Khan Introduction Telecommunication
More informationPerformance Evaluation Of Digital Modulation Techniques In Awgn Communication Channel
Performance Evaluation Of Digital Modulation Techniques In Awgn Communication Channel Oyetunji S. A 1 and Akinninranye A. A 2 1 Federal University of Technology Akure, Nigeria 2 MTN Nigeria Abstract The
More informationECE 3500: Fundamentals of Signals and Systems (Fall 2014) Lab 4: Binary Phase-Shift Keying Modulation and Demodulation
ECE 3500: Fundamentals of Signals and Systems (Fall 2014) Lab 4: Binary Phase-Shift Keying Modulation and Demodulation Files necessary to complete this assignment: none Deliverables Due: Before your assigned
More informationCOMPARISON OF CHANNEL ESTIMATION AND EQUALIZATION TECHNIQUES FOR OFDM SYSTEMS
COMPARISON OF CHANNEL ESTIMATION AND EQUALIZATION TECHNIQUES FOR OFDM SYSTEMS Sanjana T and Suma M N Department of Electronics and communication, BMS College of Engineering, Bangalore, India ABSTRACT In
More informationLab 3.0. Pulse Shaping and Rayleigh Channel. Faculty of Information Engineering & Technology. The Communications Department
Faculty of Information Engineering & Technology The Communications Department Course: Advanced Communication Lab [COMM 1005] Lab 3.0 Pulse Shaping and Rayleigh Channel 1 TABLE OF CONTENTS 2 Summary...
More informationMobile Radio Systems OPAM: Understanding OFDM and Spread Spectrum
Mobile Radio Systems OPAM: Understanding OFDM and Spread Spectrum Klaus Witrisal witrisal@tugraz.at Signal Processing and Speech Communication Laboratory www.spsc.tugraz.at Graz University of Technology
More informationChapter 2: Signal Representation
Chapter 2: Signal Representation Aveek Dutta Assistant Professor Department of Electrical and Computer Engineering University at Albany Spring 2018 Images and equations adopted from: Digital Communications
More informationUNIVERSITY OF SOUTHAMPTON
UNIVERSITY OF SOUTHAMPTON ELEC6014W1 SEMESTER II EXAMINATIONS 2007/08 RADIO COMMUNICATION NETWORKS AND SYSTEMS Duration: 120 mins Answer THREE questions out of FIVE. University approved calculators may
More informationPerformance Evaluation of OFDM System with Rayleigh, Rician and AWGN Channels
Performance Evaluation of OFDM System with Rayleigh, Rician and AWGN Channels Abstract A Orthogonal Frequency Division Multiplexing (OFDM) scheme offers high spectral efficiency and better resistance to
More informationUTA EE5362 PhD Diagnosis Exam (Spring 2012) Communications
EE536 Spring 013 PhD Diagnosis Exam ID: UTA EE536 PhD Diagnosis Exam (Spring 01) Communications Instructions: Verify that your exam contains 11 pages (including the cover sheet). Some space is provided
More informationEmpirical Path Loss Models
Empirical Path Loss Models 1 Free space and direct plus reflected path loss 2 Hata model 3 Lee model 4 Other models 5 Examples Levis, Johnson, Teixeira (ESL/OSU) Radiowave Propagation August 17, 2018 1
More informationNarrow- and wideband channels
RADIO SYSTEMS ETIN15 Lecture no: 3 Narrow- and wideband channels Ove Edfors, Department of Electrical and Information technology Ove.Edfors@eit.lth.se 2012-03-19 Ove Edfors - ETIN15 1 Contents Short review
More informationLecture 7/8: UWB Channel. Kommunikations
Lecture 7/8: UWB Channel Kommunikations Technik UWB Propagation Channel Radio Propagation Channel Model is important for Link level simulation (bit error ratios, block error ratios) Coverage evaluation
More informationNarrow- and wideband channels
RADIO SYSTEMS ETIN15 Lecture no: 3 Narrow- and wideband channels Ove Edfors, Department of Electrical and Information technology Ove.Edfors@eit.lth.se 27 March 2017 1 Contents Short review NARROW-BAND
More informationDigital Signal Processing PW1 Signals, Correlation functions and Spectra
Digital Signal Processing PW1 Signals, Correlation functions and Spectra Nathalie Thomas Master SATCOM 018 019 1 Introduction The objectives of this rst practical work are the following ones : 1. to be
More informationMobile Radio Propagation Channel Models
Wireless Information Transmission System Lab. Mobile Radio Propagation Channel Models Institute of Communications Engineering National Sun Yat-sen University Table of Contents Introduction Propagation
More informationMulti-Path Fading Channel
Instructor: Prof. Dr. Noor M. Khan Department of Electronic Engineering, Muhammad Ali Jinnah University, Islamabad Campus, Islamabad, PAKISTAN Ph: +9 (51) 111-878787, Ext. 19 (Office), 186 (Lab) Fax: +9
More informationEffects of Fading Channels on OFDM
IOSR Journal of Engineering (IOSRJEN) e-issn: 2250-3021, p-issn: 2278-8719, Volume 2, Issue 9 (September 2012), PP 116-121 Effects of Fading Channels on OFDM Ahmed Alshammari, Saleh Albdran, and Dr. Mohammad
More informationImplementation of a Real-Time Rayleigh, Rician and AWGN Multipath Channel Emulator
Implementation of a Real-Time Rayleigh, Rician and AWGN Multipath Channel Emulator Peter John Green Advanced Communication Department Communication and Network Cluster Institute for Infocomm Research Singapore
More informationChannel. Muhammad Ali Jinnah University, Islamabad Campus, Pakistan. Multi-Path Fading. Dr. Noor M Khan EE, MAJU
Instructor: Prof. Dr. Noor M. Khan Department of Electronic Engineering, Muhammad Ali Jinnah University, Islamabad Campus, Islamabad, PAKISTAN Ph: +9 (51) 111-878787, Ext. 19 (Office), 186 (Lab) Fax: +9
More informationComm 502: Communication Theory
Comm 50: Communication Theory Prof. Dean of the faculty of IET The German University in Cairo 1 COMM 50: Communication Theory Instructor: Ahmed El-Mahdy Office : C3.319 Lecture Time: Sat. nd Slot Office
More informationCorrelation, Interference. Kalle Ruttik Department of Communications and Networking School of Electrical Engineering Aalto University
Correlation, Interference Kalle Ruttik Department of Communications and Networking School of Electrical Engineering Aalto University Correlation Correlation Digital communication uses extensively signals
More informationOCS Implementation of Amplifiers
1 Overview of the lecture OCS Implementation of Amplifiers April 1, 2003 This lecture is about how we have implemented erbium-doped fiber amplifiers in our OCS code. The topics we will discuss are: 1.
More informationPERFORMANCE of predetection equal gain combining
1252 IEEE TRANSACTIONS ON COMMUNICATIONS, VOL. 53, NO. 8, AUGUST 2005 Performance Analysis of Predetection EGC in Exponentially Correlated Nakagami-m Fading Channel P. R. Sahu, Student Member, IEEE, and
More information9.4 Temporal Channel Models
ECEn 665: Antennas and Propagation for Wireless Communications 127 9.4 Temporal Channel Models The Rayleigh and Ricean fading models provide a statistical model for the variation of the power received
More informationWideband Channel Characterization. Spring 2017 ELE 492 FUNDAMENTALS OF WIRELESS COMMUNICATIONS 1
Wideband Channel Characterization Spring 2017 ELE 492 FUNDAMENTALS OF WIRELESS COMMUNICATIONS 1 Wideband Systems - ISI Previous chapter considered CW (carrier-only) or narrow-band signals which do NOT
More informationTHE BER PERFORMANCE OF OFDM SIGNAL THROUGH MULTIPATH CHANNELS (AWGN, RAYLEIGH & RICIAN) BY USING CLIPPING
International Journal of Electronics and Communication Engineering and Technology (IJECET) Volume 8, Issue 6, November-December 2017, pp. 28 37, Article ID: IJECET_08_06_003 Available online at http://www.iaeme.com/ijecet/issues.asp?jtype=ijecet&vtype=8&itype=6
More informationDATE: June 14, 2007 TO: FROM: SUBJECT:
DATE: June 14, 2007 TO: FROM: SUBJECT: Pierre Collinet Chinmoy Gavini A proposal for quantifying tradeoffs in the Physical Layer s modulation methods of the IEEE 802.15.4 protocol through simulation INTRODUCTION
More informationModule 10 : Receiver Noise and Bit Error Ratio
Module 10 : Receiver Noise and Bit Error Ratio Lecture : Receiver Noise and Bit Error Ratio Objectives In this lecture you will learn the following Receiver Noise and Bit Error Ratio Shot Noise Thermal
More informationAntennas and Propagation. Chapter 6b: Path Models Rayleigh, Rician Fading, MIMO
Antennas and Propagation b: Path Models Rayleigh, Rician Fading, MIMO Introduction From last lecture How do we model H p? Discrete path model (physical, plane waves) Random matrix models (forget H p and
More informationSimulation of Outdoor Radio Channel
Simulation of Outdoor Radio Channel Peter Brída, Ján Dúha Department of Telecommunication, University of Žilina Univerzitná 815/1, 010 6 Žilina Email: brida@fel.utc.sk, duha@fel.utc.sk Abstract Wireless
More informationChannel Models. Spring 2017 ELE 492 FUNDAMENTALS OF WIRELESS COMMUNICATIONS 1
Channel Models Spring 2017 ELE 492 FUNDAMENTALS OF WIRELESS COMMUNICATIONS 1 Narrowband Channel Models Statistical Approach: Impulse response modeling: A narrowband channel can be represented by an impulse
More informationObjectives. Presentation Outline. Digital Modulation Revision
Digital Modulation Revision Professor Richard Harris Objectives To identify the key points from the lecture material presented in the Digital Modulation section of this paper. What is in the examination
More informationPerformance of a Base Station Feedback-Type Adaptive Array Antenna with Mobile Station Diversity Reception in FDD/DS-CDMA System
Performance of a Base Station Feedback-Type Adaptive Array Antenna with Mobile Station Diversity Reception in FDD/DS-CDMA System S. Gamal El-Dean 1, M. Shokair 2, M. I. Dessouki 3 and N. Elfishawy 4 Faculty
More informationWireless Communication: Concepts, Techniques, and Models. Hongwei Zhang
Wireless Communication: Concepts, Techniques, and Models Hongwei Zhang http://www.cs.wayne.edu/~hzhang Outline Digital communication over radio channels Channel capacity MIMO: diversity and parallel channels
More informationECE 3500: Fundamentals of Signals and Systems (Fall 2015) Lab 4: Binary Phase-Shift Keying Modulation and Demodulation
ECE 500: Fundamentals of Signals and Systems (Fall 2015) Lab 4: Binary Phase-Shift Keying Modulation and Demodulation Files necessary to complete this assignment: none Deliverables Due: Before Dec. 18th
More informationUnit 8 - Week 7 - Computer simulation of Rayleigh fading, Antenna Diversity
X Courses» Introduction to Wireless and Cellular Communications Announcements Course Forum Progress Mentor Unit 8 - Week 7 - Computer simulation of Rayleigh fading, Antenna Diversity Course outline How
More informationS Simulation program SEAMCAT
S-72.333 Post Graduate Course in Radiocommunications Spring 2001 Simulation program SEAMCAT (The Spectrum Engineering Advanced Monte Carlo Analysis Tool) Pekka Ollikainen pekka.ollikainen@thk.fi Page 1
More informationTHE CHANNEL CHARACTERIZATION in mobile communication
INTL JOURNAL OF ELECTRONICS AND TELECOMMUNICATIONS, 2010, VOL. 56, NO. 4, PP. 339 344 Manuscript received September 16, 2010; revised November 2010. DOI: 10.2478/v10177-010-0044-x Overview of Fading Channel
More informationCarrier Frequency Offset Estimation in WCDMA Systems Using a Modified FFT-Based Algorithm
Carrier Frequency Offset Estimation in WCDMA Systems Using a Modified FFT-Based Algorithm Seare H. Rezenom and Anthony D. Broadhurst, Member, IEEE Abstract-- Wideband Code Division Multiple Access (WCDMA)
More informationUNDERWATER ACOUSTIC CHANNEL ESTIMATION AND ANALYSIS
Proceedings of the 5th Annual ISC Research Symposium ISCRS 2011 April 7, 2011, Rolla, Missouri UNDERWATER ACOUSTIC CHANNEL ESTIMATION AND ANALYSIS Jesse Cross Missouri University of Science and Technology
More informationNoise and Distortion in Microwave System
Noise and Distortion in Microwave System Prof. Tzong-Lin Wu EMC Laboratory Department of Electrical Engineering National Taiwan University 1 Introduction Noise is a random process from many sources: thermal,
More informationAnalysis of Fast Fading in Wireless Communication Channels M.Siva Ganga Prasad 1, P.Siddaiah 1, L.Pratap Reddy 2, K.Lekha 1
International Journal of ISSN 0974-2107 Systems and Technologies IJST Vol.3, No.1, pp 139-145 KLEF 2010 Fading in Wireless Communication Channels M.Siva Ganga Prasad 1, P.Siddaiah 1, L.Pratap Reddy 2,
More informationA MODIFIED DIRECT-SEQUENCE SPREAD SPECTRUM MODULATION SCHEME FOR BURST TRANSMISSIONS. Bart Scheers and Vincent Le Nir
A MODIFIED DIRECT-SEQUENCE SPREAD SPECTRUM MODULATION SCHEME FOR BURST TRANSMISSIONS Bart Scheers and Vincent Le Nir CISS Department Royal Military Academy RMA) Brussels, Belgium {bart.scheers, vincent.lenir}@rma.ac.be
More informationPerformance analysis of MISO-OFDM & MIMO-OFDM Systems
Performance analysis of MISO-OFDM & MIMO-OFDM Systems Kavitha K V N #1, Abhishek Jaiswal *2, Sibaram Khara #3 1-2 School of Electronics Engineering, VIT University Vellore, Tamil Nadu, India 3 Galgotias
More informationMicrowave Seminar. Noise and Bit Error Ratio. J. Richie. Spring 2013
Microwave Seminar Noise and Bit Error Ratio J. Richie Spring 2013 Outline Noise Noise and Equivalent Temperature Noise Figure Small Scale Fade and Multipath Impulse Response Model Types of Fading Modulation
More informationPERFORMANCE ANALYSIS OF DIFFERENT M-ARY MODULATION TECHNIQUES IN FADING CHANNELS USING DIFFERENT DIVERSITY
PERFORMANCE ANALYSIS OF DIFFERENT M-ARY MODULATION TECHNIQUES IN FADING CHANNELS USING DIFFERENT DIVERSITY 1 MOHAMMAD RIAZ AHMED, 1 MD.RUMEN AHMED, 1 MD.RUHUL AMIN ROBIN, 1 MD.ASADUZZAMAN, 2 MD.MAHBUB
More informationEE 451: Digital Signal Processing
EE 451: Digital Signal Processing Power Spectral Density Estimation Aly El-Osery Electrical Engineering Department, New Mexico Tech Socorro, New Mexico, USA December 4, 2017 Aly El-Osery (NMT) EE 451:
More informationEC 551 Telecommunication System Engineering. Mohamed Khedr
EC 551 Telecommunication System Engineering Mohamed Khedr http://webmail.aast.edu/~khedr 1 Mohamed Khedr., 2008 Syllabus Tentatively Week 1 Week 2 Week 3 Week 4 Week 5 Week 6 Week 7 Week 8 Week 9 Week
More informationPerformance analysis of BPSK system with ZF & MMSE equalization
Performance analysis of BPSK system with ZF & MMSE equalization Manish Kumar Department of Electronics and Communication Engineering Swift institute of Engineering & Technology, Rajpura, Punjab, India
More informationEE 435/535: Error Correcting Codes Project 1, Fall 2009: Extended Hamming Code. 1 Introduction. 2 Extended Hamming Code: Encoding. 1.
EE 435/535: Error Correcting Codes Project 1, Fall 2009: Extended Hamming Code Project #1 is due on Tuesday, October 6, 2009, in class. You may turn the project report in early. Late projects are accepted
More informationEENG473 Mobile Communications Module 3 : Week # (12) Mobile Radio Propagation: Small-Scale Path Loss
EENG473 Mobile Communications Module 3 : Week # (12) Mobile Radio Propagation: Small-Scale Path Loss Introduction Small-scale fading is used to describe the rapid fluctuation of the amplitude of a radio
More informationPerformance Evaluation of a UWB Channel Model with Antipodal, Orthogonal and DPSK Modulation Scheme
International Journal of Wired and Wireless Communications Vol 4, Issue April 016 Performance Evaluation of 80.15.3a UWB Channel Model with Antipodal, Orthogonal and DPSK Modulation Scheme Sachin Taran
More informationMultipath Delay-Spread Tolerance
Multipath Delay-Spread Tolerance John H. Cafarella MICRILOR, Inc. Slide 1 Outline of Symbol-Based Approach Probability of Symbol Error Conditioned On: Data Pattern of Symbol Data Pattern of Neighboring
More informationPERFORMANCE ANALYSIS OF MIMO WIRELESS SYSTEM WITH ARRAY ANTENNA
PERFORMANCE ANALYSIS OF MIMO WIRELESS SYSTEM WITH ARRAY ANTENNA Mihir Narayan Mohanty MIEEE Department of Electronics and Communication Engineering, ITER, Siksha O Anusandhan University, Bhubaneswar, Odisha,
More informationSystem Identification and CDMA Communication
System Identification and CDMA Communication A (partial) sample report by Nathan A. Goodman Abstract This (sample) report describes theory and simulations associated with a class project on system identification
More informationProbability of Error Calculation of OFDM Systems With Frequency Offset
1884 IEEE TRANSACTIONS ON COMMUNICATIONS, VOL. 49, NO. 11, NOVEMBER 2001 Probability of Error Calculation of OFDM Systems With Frequency Offset K. Sathananthan and C. Tellambura Abstract Orthogonal frequency-division
More informationMEASUREMENT AND MODELING OF INDOOR UWB CHANNEL AT 5 GHz
MEASUREMENT AND MODELING OF INDOOR UWB CHANNEL AT 5 GHz WINLAB @ Rutgers University July 31, 2002 Saeed S. Ghassemzadeh saeedg@research.att.com Florham Park, New Jersey This work is based on collaborations
More informationImproving Channel Estimation in OFDM System Using Time Domain Channel Estimation for Time Correlated Rayleigh Fading Channel Model
International Journal of Engineering Science Invention ISSN (Online): 2319 6734, ISSN (Print): 2319 6726 Volume 2 Issue 8 ǁ August 2013 ǁ PP.45-51 Improving Channel Estimation in OFDM System Using Time
More informationProblem Sheet 1 Probability, random processes, and noise
Problem Sheet 1 Probability, random processes, and noise 1. If F X (x) is the distribution function of a random variable X and x 1 x 2, show that F X (x 1 ) F X (x 2 ). 2. Use the definition of the cumulative
More informationTHE STUDY OF BIT ERROR RATE EVOLUTION IN A MOBILE COMMUNICATIONS SYSTEM USING DS CDMA TECHNOLOGY
Journal of Engineering Studies and Research Volume 18 (2012) No. 2 110 THE STUDY OF BIT ERROR RATE EVOLUTION IN A MOBILE COMMUNICATIONS SYSTEM USING DS CDMA TECHNOLOGY POPA ION * Technical University "Gheorghe
More informationPropagation Channels. Chapter Path Loss
Chapter 9 Propagation Channels The transmit and receive antennas in the systems we have analyzed in earlier chapters have been in free space with no other objects present. In a practical communication
More informationContents. Introduction 1 1 Suggested Reading 2 2 Equipment and Software Tools 2 3 Experiment 2
ECE363, Experiment 02, 2018 Communications Lab, University of Toronto Experiment 02: Noise Bruno Korst - bkf@comm.utoronto.ca Abstract This experiment will introduce you to some of the characteristics
More informationTime Series/Data Processing and Analysis (MATH 587/GEOP 505)
Time Series/Data Processing and Analysis (MATH 587/GEOP 55) Rick Aster and Brian Borchers October 7, 28 Plotting Spectra Using the FFT Plotting the spectrum of a signal from its FFT is a very common activity.
More informationSTATISTICAL MODELING OF A SHALLOW WATER ACOUSTIC COMMUNICATION CHANNEL
STATISTICAL MODELING OF A SHALLOW WATER ACOUSTIC COMMUNICATION CHANNEL Parastoo Qarabaqi a, Milica Stojanovic b a qarabaqi@ece.neu.edu b millitsa@ece.neu.edu Parastoo Qarabaqi Northeastern University,
More informationBit Error Rate Assessment of Digital Modulation Schemes on Additive White Gaussian Noise, Line of Sight and Non Line of Sight Fading Channels
International Journal of Engineering Science Invention ISSN (Online): 2319 6734, ISSN (Print): 2319 6726 Volume 3 Issue 8 ǁ August 2014 ǁ PP.06-10 Bit Error Rate Assessment of Digital Modulation Schemes
More informationBER Analysis of Receive Diversity Using Multiple Antenna System and MRC
International Journal of Information Communication Technology and Digital Convergence Vol. 2, No. 1, June. 2017, pp. 15-25 BER Analysis of Receive Diversity Using Multiple Antenna System and MRC Shishir
More informationUNEQUAL POWER ALLOCATION FOR JPEG TRANSMISSION OVER MIMO SYSTEMS. Muhammad F. Sabir, Robert W. Heath Jr. and Alan C. Bovik
UNEQUAL POWER ALLOCATION FOR JPEG TRANSMISSION OVER MIMO SYSTEMS Muhammad F. Sabir, Robert W. Heath Jr. and Alan C. Bovik Department of Electrical and Computer Engineering, The University of Texas at Austin,
More informationPerformance Evaluation of BPSK modulation Based Spectrum Sensing over Wireless Fading Channels in Cognitive Radio
IOSR Journal of Electronics and Communication Engineering (IOSR-JECE) e-issn: 2278-2834,p- ISSN: 2278-8735.Volume 9, Issue 6, Ver. IV (Nov - Dec. 2014), PP 24-28 Performance Evaluation of BPSK modulation
More informationMultipath Propagation Model for High Altitude Platform (HAP) Based on Circular Straight Cone Geometry
Multipath Propagation Model for High Altitude Platform (HAP) Based on Circular Straight Cone Geometry J. L. Cuevas-Ruíz ITESM-CEM México D.F., México jose.cuevas@itesm.mx A. Aragón-Zavala ITESM-Qro Querétaro
More informationPerformance of Wideband Mobile Channel with Perfect Synchronism BPSK vs QPSK DS-CDMA
Performance of Wideband Mobile Channel with Perfect Synchronism BPSK vs QPSK DS-CDMA By Hamed D. AlSharari College of Engineering, Aljouf University, Sakaka, Aljouf 2014, Kingdom of Saudi Arabia, hamed_100@hotmail.com
More informationUNIVERSITY OF UTAH ELECTRICAL AND COMPUTER ENGINEERING DEPARTMENT
UNIVERSITY OF UTAH ELECTRICAL AND COMPUTER ENGINEERING DEPARTMENT ECE1020 COMPUTING ASSIGNMENT 3 N. E. COTTER MATLAB ARRAYS: RECEIVED SIGNALS PLUS NOISE READING Matlab Student Version: learning Matlab
More informationNAVAL POSTGRADUATE SCHOOL THESIS
NAVAL POSTGRADUATE SCHOOL MONTEREY, CALIFORNIA THESIS SIGNAL DETECTION AND FRAME SYNCHRONIZATION OF MULTIPLE WIRELESS NETWORKING WAVEFORMS by Keith C. Howland September 2007 Thesis Advisor: Co-Advisor:
More informationOrthogonal Frequency Division Multiplexing (OFDM) based Uplink Multiple Access Method over AWGN and Fading Channels
Orthogonal Frequency Division Multiplexing (OFDM) based Uplink Multiple Access Method over AWGN and Fading Channels Prashanth G S 1 1Department of ECE, JNNCE, Shivamogga ---------------------------------------------------------------------***----------------------------------------------------------------------
More informationCHAPTER 2 WIRELESS CHANNEL
CHAPTER 2 WIRELESS CHANNEL 2.1 INTRODUCTION In mobile radio channel there is certain fundamental limitation on the performance of wireless communication system. There are many obstructions between transmitter
More informationEE 451: Digital Signal Processing
EE 451: Digital Signal Processing Stochastic Processes and Spectral Estimation Aly El-Osery Electrical Engineering Department, New Mexico Tech Socorro, New Mexico, USA November 29, 2011 Aly El-Osery (NMT)
More informationInternational Journal of Advance Engineering and Research Development
Scientific Journal of Impact Factor (SJIF) : 3.134 ISSN (Print) : 2348-6406 ISSN (Online): 2348-4470 International Journal of Advance Engineering and Research Development COMPARATIVE ANALYSIS OF THREE
More informationWireless Physical Layer Concepts: Part II
Wireless Physical Layer Concepts: Part II Raj Jain Professor of CSE Washington University in Saint Louis Saint Louis, MO 63130 Jain@cse.wustl.edu Audio/Video recordings of this lecture are available at:
More informationComputational Complexity of Multiuser. Receivers in DS-CDMA Systems. Syed Rizvi. Department of Electrical & Computer Engineering
Computational Complexity of Multiuser Receivers in DS-CDMA Systems Digital Signal Processing (DSP)-I Fall 2004 By Syed Rizvi Department of Electrical & Computer Engineering Old Dominion University Outline
More informationSPLIT MLSE ADAPTIVE EQUALIZATION IN SEVERELY FADED RAYLEIGH MIMO CHANNELS
SPLIT MLSE ADAPTIVE EQUALIZATION IN SEVERELY FADED RAYLEIGH MIMO CHANNELS RASHMI SABNUAM GUPTA 1 & KANDARPA KUMAR SARMA 2 1 Department of Electronics and Communication Engineering, Tezpur University-784028,
More informationEstimation of speed, average received power and received signal in wireless systems using wavelets
Estimation of speed, average received power and received signal in wireless systems using wavelets Rajat Bansal Sumit Laad Group Members rajat@ee.iitb.ac.in laad@ee.iitb.ac.in 01D07010 01D07011 Abstract
More information9.1. Probability and Statistics
9. Probability and Statistics Measured signals exhibit deterministic (predictable) and random (unpredictable) behavior. The deterministic behavior is often governed by a differential equation, while the
More informationVisual Quality Assessment using the IVQUEST software
Visual Quality Assessment using the IVQUEST software I. Objective The objective of this project is to introduce students to automated visual quality assessment and how it is performed in practice by using
More informationPROBABILITY OF ERROR FOR BPSK MODULATION IN DISTRIBUTED BEAMFORMING WITH PHASE ERRORS. Shuo Song, John S. Thompson, Pei-Jung Chung, Peter M.
9 International ITG Workshop on Smart Antennas WSA 9, February 16 18, Berlin, Germany PROBABILITY OF ERROR FOR BPSK MODULATION IN DISTRIBUTED BEAMFORMING WITH PHASE ERRORS Shuo Song, John S. Thompson,
More informationTesting c2k Mobile Stations Using a Digitally Generated Faded Signal
Testing c2k Mobile Stations Using a Digitally Generated Faded Signal Agenda Overview of Presentation Fading Overview Mitigation Test Methods Agenda Fading Presentation Fading Overview Mitigation Test Methods
More informationCitation Wireless Networks, 2006, v. 12 n. 2, p The original publication is available at
Title Combining pilot-symbol-aided techniques for fading estimation and diversity reception in multipath fading channels Author(s) Ng, MH; Cheung, SW Citation Wireless Networks, 6, v. 1 n., p. 33-4 Issued
More informationAnalysis of Co-channel Interference in Rayleigh and Rician fading channel for BPSK Communication using DPLL
Analysis of Co-channel Interference in Rayleigh and Rician fading channel for BPSK Communication using DPLL Pranjal Gogoi Department of Electronics and Communication Engineering, GIMT( Girijananda Chowdhury
More informationDetecting the Position and Number of Sharks in the Sea Using Active Sound Navigation and Ranging (SONAR) Technique
WCE 015, July 1-3, 015, London, U.K. Detecting the Position and Number of Sharks in the Sea Using Active Sound Navigation and Ranging (SONAR) Technique Hauwa T. Abdulkarim, Member, IAENG Abstract SONAR
More informationSimulated BER Performance of, and Initial Hardware Results from, the Uplink in the U.K. LINK-CDMA Testbed
Simulated BER Performance of, and Initial Hardware Results from, the Uplink in the U.K. LINK-CDMA Testbed J.T.E. McDonnell1, A.H. Kemp2, J.P. Aldis3, T.A. Wilkinson1, S.K. Barton2,4 1Mobile Communications
More informationEffects of multipath propagation on design and operation of line-of-sight digital radio-relay systems
Rec. ITU-R F.1093-1 1 RECOMMENDATION ITU-R F.1093-1* Rec. ITU-R F.1093-1 EFFECTS OF MULTIPATH PROPAGATION ON THE DESIGN AND OPERATION OF LINE-OF-SIGHT DIGITAL RADIO-RELAY SYSTEMS (Question ITU-R 122/9)
More informationImpulsive Noise Reduction Method Based on Clipping and Adaptive Filters in AWGN Channel
Impulsive Noise Reduction Method Based on Clipping and Adaptive Filters in AWGN Channel Sumrin M. Kabir, Alina Mirza, and Shahzad A. Sheikh Abstract Impulsive noise is a man-made non-gaussian noise that
More informationA Comparative Performance Analysis of Digital Modulation Schemes used in Mobile Radio Systems
International Journal of Advanced Research in Physical Science (IJARPS) Volume 2, Issue 5, May 2015, PP 7-13 ISSN 2349-7874 (Print) & ISSN 2349-7882 (Online) www.arcjournals.org A Comparative Performance
More information