Chapter 2 Channel Equalization

Size: px
Start display at page:

Transcription

6 The model is expressed as, y(t) = g 1 s(t) + a[τ g 2 s(t)] + b[τ g 2 s(t)] + n(t) (2.1) Where, y(t) is output signal of the channel, s(t) is input signal, τ is delay or phase shift, g 1 is fixed gain, g 2 is variable gain, n(t) is noise, a and b are terrain dependent variables. Signal input s(t) Fixed Gain Delay (Phase shift) + Signal Output y(t) Variable Gain or Attenuation Fig. 2.5 Multipath fading channel structure The channel model was tested for sine wave and complex inputs. The effect of noise and scattering property of the channel were tested. The model has been tested, analyzed and compared with the BER performance of Rayleigh channel model and AWGN channel models. It has been observed that more accurate model is Rayleigh channel model as its BER curves have steepness and values more closely to theoretical analysis. The proposed multipath fading channel simulation model provides similar performance. The channel model can be used to test the performance of wireless communication system in a mobile environment. 2.7 Effect of noise on fading Noise is considered as any measurement that is not part of the phenomena of interest. The noise is generated by using matlab function, y = AWGN (x, SNR, measured ). This function is used to add the white Gaussian noise to the vector signal x. AWGN adds complex noise for x is complex. Signal-to-noise ratio (SNR) per sample, ratio of symbol energy to noise power spectral density (Es/N 0 ) etc. describes relative power of noise in a channel. A bit error ratio is the ratio of the number of bits in error to the total number of bits transmitted during a specified time interval. Signal-to-noise ratio compares the level of information signal to the level of noise. SNR = (P signal / P noise ) = (A signal / A noise ) 2. 14

7 While considering effect of BER on SNR, the results show that BER is more at low SNR since in low SNR, white Gaussian noise dominates the signal. The BER error can be improved by improving SNR. For high SNR, phase estimation error is more and BER cannot be improved by simply enhancing SNR. Thus, BER performance is worse in flat fading channels as well as frequency selective fading channels and it is best in AWGN channel. A channel is to be modeled physically by trying to calculate the physical processes that modify the transmitted signal. In wireless communication the channel can be modeled by calculating the reflection from every object in the environment. 2.8 Simulation results and discussion Multipath fading channel model with sine and complex input Simulations results of proposed multipath fading channel model with sinusoidal and complex input signals have been presented below. Fig. 2.6 Flowchart for obtaining faded signal 15

8 Received signal power (db) Amplitude (Volts) Channel Equalization As shown in Fig. 2.6, input signal is passed through fixed gain mechanism for zero attenuation signal components. Variable gain mechanism through delay is used for getting variable attenuation and phase shifted signal components Time (ms) Fig. 2.7 Multipath fading channel output for sine wave input Multipath fading channel output for sine wave input (1 khz) is shown in Fig The blue coloured signal represents input sine wave. The faded signal output has been denoted by the number of red signals. Received signal power varies with variation in phase shift and attenuation in different signal components. More the phase shift, lower is the received signal power at the channel output. A typical variation in received signal power with time in multipath fading channel model is shown in Fig Time (ms) Fig. 2.8 Simulated fading signal 16

9 Amplitude (Volts) Amplitude (Volts) Channel Equalization For evaluating the performane of the channel with complex input, we have used square wave as it contains multiple harmonic components. Multipath fading channel output for complex wave (square wave) input is presented in Fig Fig. 2.9 Multipath fading channel output for square wave input The blue colored signal represents input square wave (1 khz). It is observed that when signal passes through the channel, signal gets phase shifted due to reflections from the objects and obstacles along the path. The faded signal outputs have been denoted by the number of red signals Time (ms) Multipath fading channel in presence of noise Time (ms) Fig Multipath fading channel output for sine wave input with noise 17

10 Amplitude (Volts) Channel Equalization Fig Multipath fading channel output for square wave input with noise We have generated white Gaussian noise that represents channel noise. The noise is mixed with resultant signal and results are presented in the Fig and Fig The noise is generated by using matlab function y=awgn(x,snr, measured ). This function adds white Gaussian noise to the signal BER Vs SNR The flowchart for obtaining the BER Vs SNR performance of multipath fading channel is shown in the Fig Time (ms) Start BPSK modulation Channel Compute values of SNR + Noise Demodulation Compute the BER for fading channel Compare BER and SNR End Fig Flowchart for obtaining BER Vs SNR plot 18

11 Quadrature component of x Channel Equalization Fig BER Vs SNR plot for Multipath fading channel The BER is calculated from the number of bits received in error divided by the number of bits transmitted. BER= (Bits in Error) / (Total bits transmitted). SNR is the ratio of the received signal strength over the noise strength in the frequency range of the operation. SNR= 10 log 10 (Signal Power/Noise Power). The result in Fig shows that BER is inversely related to SNR. High BER causes low SNR and vice versa. The number of bit errors in the received bit stream has been altered due to noise, interference and distortion Scattering property of the channel 2 Scatter plot Irregular object In-Phase component of x Fig Scattering property of the channel 19

12 The function scatterplot(x) is used to generate a scatter plot of the signal x. Shape and complexity of x decides its interpretation. For x is a real two-column matrix, the function interprets first and second columns as in-phase and quadrature components respectively. The function denotes in-phase components for real parts and quadrature components for imaginary part of complex vector x. If x is a real vector then function interprets it as a real signal. 2.9 Performance of channel models When multipath fading occurs, the BER will increase for a given channel SNR. The techniques such as diversity, equalization, data interleaving are used to combat multipath fading Rayleigh model The Rayleigh fading channel considers a multiplicative distortion h(t), transmitted signal s(t) and the noise n(t). The channel model is written as, y(t) = h(t){s(t) + n(t)} (2.2) Rayleigh fading is the specialized model for no line-of-sight propagated signal and it is considered as a special case of the Rician fading channel model. In Rayleigh fading, the amplitude of the signal is characterized by Rayleigh distribution. The performance analysis on the basis of BER and SNR is shown in the Fig Fig BER Vs SNR in Rayleigh channel model 20

13 When direct line-of-sight path does not exist between transmitter and receiver, the resultant signal at the receiver will be the sum of all the reflected signal components through indirect paths and scattered waves. This increases BER at low SNR AWGN Channel Model AWGN channel model is very straightforward in which we have to only add a white Gaussian noise into input signal at given SNR and bandwidth. The Gaussian channel is important for providing an upper bound on system performance. The AWGN channel model is shown in Fig White Noise at given SNR and bandwidth Transmitted signal Received signal Fig Block diagram of AWGN channel model Fig BER Vs SNR in AWGN channel model BER Vs SNR performance of the AWGN channel model is presented in Fig In this model the channel has only stochastic influence. The stochastic influence is actually an interference simply called noise. The Central Limit Theorem advocates that the total interference has a Gaussian distribution. Moreover, we assume that this distribution is the same at every time and does not depend on its past. 21

CALIFORNIA 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

CHAPTER 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

Wireless Channel Propagation Model Small-scale Fading

Wireless Channel Propagation Model Small-scale Fading Basic Questions T x What will happen if the transmitter - changes transmit power? - changes frequency? - operates at higher speed? Transmit power,

Performance Analysis of Equalizer Techniques for Modulated Signals

Vol. 3, Issue 4, Jul-Aug 213, pp.1191-1195 Performance Analysis of Equalizer Techniques for Modulated Signals Gunjan Verma, Prof. Jaspal Bagga (M.E in VLSI, SSGI University, Bhilai (C.G). Associate Professor

CHAPTER 4 PERFORMANCE ANALYSIS OF THE ALAMOUTI STBC BASED DS-CDMA SYSTEM

89 CHAPTER 4 PERFORMANCE ANALYSIS OF THE ALAMOUTI STBC BASED DS-CDMA SYSTEM 4.1 INTRODUCTION This chapter investigates a technique, which uses antenna diversity to achieve full transmit diversity, using

Performance 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

ECE 476/ECE 501C/CS Wireless Communication Systems Winter Lecture 6: Fading

ECE 476/ECE 501C/CS 513 - Wireless Communication Systems Winter 2004 Lecture 6: Fading Last lecture: Large scale propagation properties of wireless systems - slowly varying properties that depend primarily

WIRELESS COMMUNICATION TECHNOLOGIES (16:332:546) LECTURE 5 SMALL SCALE FADING

WIRELESS COMMUNICATION TECHNOLOGIES (16:332:546) LECTURE 5 SMALL SCALE FADING Instructor: Dr. Narayan Mandayam Slides: SabarishVivek Sarathy A QUICK RECAP Why is there poor signal reception in urban clutters?

BER ANALYSIS OF WiMAX IN MULTIPATH FADING CHANNELS

BER ANALYSIS OF WiMAX IN MULTIPATH FADING CHANNELS Navgeet Singh 1, Amita Soni 2 1 P.G. Scholar, Department of Electronics and Electrical Engineering, PEC University of Technology, Chandigarh, India 2

ECE 476/ECE 501C/CS Wireless Communication Systems Winter Lecture 6: Fading

ECE 476/ECE 501C/CS 513 - Wireless Communication Systems Winter 2003 Lecture 6: Fading Last lecture: Large scale propagation properties of wireless systems - slowly varying properties that depend primarily

ECE 476/ECE 501C/CS Wireless Communication Systems Winter Lecture 6: Fading

ECE 476/ECE 501C/CS 513 - Wireless Communication Systems Winter 2005 Lecture 6: Fading Last lecture: Large scale propagation properties of wireless systems - slowly varying properties that depend primarily

EENG473 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

Performance Evaluation of different α value for OFDM System

Performance Evaluation of different α value for OFDM System Dr. K.Elangovan Dept. of Computer Science & Engineering Bharathidasan University richirappalli Abstract: Orthogonal Frequency Division Multiplexing

Orthogonal 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 ---------------------------------------------------------------------***----------------------------------------------------------------------

Lab 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...

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

STUDY OF ENHANCEMENT OF SPECTRAL EFFICIENCY OF WIRELESS FADING CHANNEL USING MIMO TECHNIQUES

STUDY OF ENHANCEMENT OF SPECTRAL EFFICIENCY OF WIRELESS FADING CHANNEL USING MIMO TECHNIQUES Jayanta Paul M.TECH, Electronics and Communication Engineering, Heritage Institute of Technology, (India) ABSTRACT

Performance Comparison of MIMO Systems over AWGN and Rician Channels with Zero Forcing Receivers

Performance Comparison of MIMO Systems over AWGN and Rician Channels with Zero Forcing Receivers Navjot Kaur and Lavish Kansal Lovely Professional University, Phagwara, E-mails: er.navjot21@gmail.com,

Amplitude and Phase Distortions in MIMO and Diversity Systems

Amplitude and Phase Distortions in MIMO and Diversity Systems Christiane Kuhnert, Gerd Saala, Christian Waldschmidt, Werner Wiesbeck Institut für Höchstfrequenztechnik und Elektronik (IHE) Universität

Bit 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

International Journal of Advance Engineering and Research Development. Performance Comparison of Rayleigh and Rician Fading Channel Models: A Review

Scientific Journal of Impact Factor (SJIF): 5.71 International Journal of Advance Engineering and Research Development Volume 5, Issue 02, February -2018 e-issn (O): 2348-4470 p-issn (P): 2348-6406 Performance

Wireless 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

PERFORMANCE 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

Performance Comparison of MIMO Systems over AWGN and Rician Channels using OSTBC3 with Zero Forcing Receivers

www.ijcsi.org 355 Performance Comparison of MIMO Systems over AWGN and Rician Channels using OSTBC3 with Zero Forcing Receivers Navjot Kaur, Lavish Kansal Electronics and Communication Engineering Department

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

Performance comparison between different channel models with channel estimation and adaptive equalization using Rayleigh fading channel.

Performance comparison between different channel models with channel estimation and adaptive equalization using Rayleigh fading channel. A Thesis Submitted to the Department of Computer Science and Engineering

Antennas and Propagation

Antennas and Propagation Chapter 5 Introduction An antenna is an electrical conductor or system of conductors Transmission - radiates electromagnetic energy into space Reception - collects electromagnetic

Analysis 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,

Digital 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),

Wireless Information Transmission System Lab. Mobile Radio Propagation Channel Models Institute of Communications Engineering National Sun Yat-sen University Table of Contents Introduction Propagation

Performance Evaluation of STBC-OFDM System for Wireless Communication

Performance Evaluation of STBC-OFDM System for Wireless Communication Apeksha Deshmukh, Prof. Dr. M. D. Kokate Department of E&TC, K.K.W.I.E.R. College, Nasik, apeksha19may@gmail.com Abstract In this paper

Antennas & Propagation. CSG 250 Fall 2007 Rajmohan Rajaraman

Antennas & Propagation CSG 250 Fall 2007 Rajmohan Rajaraman Introduction An antenna is an electrical conductor or system of conductors o Transmission - radiates electromagnetic energy into space o Reception

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

Performance Comparison of MIMO Systems over AWGN and Rayleigh Channels with Zero Forcing Receivers

Global Journal of Researches in Engineering Electrical and Electronics Engineering Volume 13 Issue 1 Version 1.0 Type: Double Blind Peer Reviewed International Research Journal Publisher: Global Journals

9.4 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

NETW 701: Wireless Communications. Lecture 5. Small Scale Fading

NETW 701: Wireless Communications Lecture 5 Small Scale Fading Small Scale Fading Most mobile communication systems are used in and around center of population. The transmitting antenna or Base Station

Performance 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

Effects 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

Antennas and Propagation

Mobile Networks Module D-1 Antennas and Propagation 1. Introduction 2. Propagation modes 3. Line-of-sight transmission 4. Fading Slides adapted from Stallings, Wireless Communications & Networks, Second

Application Note 37. Emulating RF Channel Characteristics

Application Note 37 Emulating RF Channel Characteristics Wireless communication is one of the most demanding applications for the telecommunications equipment designer. Typical signals at the receiver

Lecture 9: Spread Spectrum Modulation Techniques

Lecture 9: Spread Spectrum Modulation Techniques Spread spectrum (SS) modulation techniques employ a transmission bandwidth which is several orders of magnitude greater than the minimum required bandwidth

APECE-302: Radio & Television Engineering Applied Physics, Electronics & Communication Engineering LEC PPT # 01 University of Dhaka APECE DU Course Teacher: S.M. Riazul Islam, PhD Date: 2013 Year, 04 Month,

Ultra Wideband Transceiver Design

Ultra Wideband Transceiver Design By: Wafula Wanjala George For: Bachelor Of Science In Electrical & Electronic Engineering University Of Nairobi SUPERVISOR: Dr. Vitalice Oduol EXAMINER: Dr. M.K. Gakuru

COMMUNICATION SYSTEMS

COMMUNICATION SYSTEMS 4TH EDITION Simon Hayhin McMaster University JOHN WILEY & SONS, INC. Ш.! [ BACKGROUND AND PREVIEW 1. The Communication Process 1 2. Primary Communication Resources 3 3. Sources of

Lecture 3: Wireless Physical Layer: Modulation Techniques. Mythili Vutukuru CS 653 Spring 2014 Jan 13, Monday

Lecture 3: Wireless Physical Layer: Modulation Techniques Mythili Vutukuru CS 653 Spring 2014 Jan 13, Monday Modulation We saw a simple example of amplitude modulation in the last lecture Modulation how

Evaluation of SNR for AWGN, Rayleigh and Rician Fading Channels Under DPSK Modulation Scheme with Constant BER

International Journal of Wireless Communications and Mobile Computing 2015; 3(1): 7-12 Published online February 6, 2015 (http://www.sciencepublishinggroup.com/j/wcmc) doi: 10.11648/j.wcmc.20150301.12

The Radio Channel. COS 463: Wireless Networks Lecture 14 Kyle Jamieson. [Parts adapted from I. Darwazeh, A. Goldsmith, T. Rappaport, P.

The Radio Channel COS 463: Wireless Networks Lecture 14 Kyle Jamieson [Parts adapted from I. Darwazeh, A. Goldsmith, T. Rappaport, P. Steenkiste] Motivation The radio channel is what limits most radio

Underwater communication implementation with OFDM

Indian Journal of Geo-Marine Sciences Vol. 44(2), February 2015, pp. 259-266 Underwater communication implementation with OFDM K. Chithra*, N. Sireesha, C. Thangavel, V. Gowthaman, S. Sathya Narayanan,

Outline / Wireless Networks and Applications Lecture 5: Physical Layer Signal Propagation and Modulation

Outline 18-452/18-750 Wireless Networks and Applications Lecture 5: Physical Layer Signal Propagation and Modulation Peter Steenkiste Carnegie Mellon University Spring Semester 2017 http://www.cs.cmu.edu/~prs/wirelesss17/

Performance 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

Estimation 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

Session2 Antennas and Propagation

Wireless Communication Presented by Dr. Mahmoud Daneshvar Session2 Antennas and Propagation 1. Introduction Types of Anttenas Free space Propagation 2. Propagation modes 3. Transmission Problems 4. Fading

Combining techniques graphical representation of bit error rate performance used in mitigating fading in global system for mobile communication (GSM)

JEMT 5 (2017) 1-7 ISSN 2053-3535 Combining techniques graphical representation of bit error rate performance used in mitigating fading in global system for mobile communication (GSM) Awofolaju T. T.* and

COMPARISON 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

Channel Estimation in Multipath fading Environment using Combined Equalizer and Diversity Techniques

International Journal of Scientific & Engineering Research Volume3, Issue 1, January 2012 1 Channel Estimation in Multipath fading Environment using Combined Equalizer and Diversity Techniques Deepmala

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,

Written Exam Channel Modeling for Wireless Communications - ETIN10

Written Exam Channel Modeling for Wireless Communications - ETIN10 Department of Electrical and Information Technology Lund University 2017-03-13 2.00 PM - 7.00 PM A minimum of 30 out of 60 points are

Antennas and Propagation. Chapter 5

Antennas and Propagation Chapter 5 Introduction An antenna is an electrical conductor or system of conductors Transmission - radiates electromagnetic energy into space Reception - collects electromagnetic

Performance Evaluation of Nonlinear Equalizer based on Multilayer Perceptron for OFDM Power- Line Communication

International Journal of Electrical Engineering. ISSN 974-2158 Volume 4, Number 8 (211), pp. 929-938 International Research Publication House http://www.irphouse.com Performance Evaluation of Nonlinear

WIRELESS COMMUNICATIONS PRELIMINARIES

WIRELESS COMMUNICATIONS Preliminaries Radio Environment Modulation Performance PRELIMINARIES db s and dbm s Frequency/Time Relationship Bandwidth, Symbol Rate, and Bit Rate 1 DECIBELS Relative signal strengths

Performance Analysis of Concatenated RS-CC Codes for WiMax System using QPSK

Performance Analysis of Concatenated RS-CC Codes for WiMax System using QPSK Department of Electronics Technology, GND University Amritsar, Punjab, India Abstract-In this paper we present a practical RS-CC

Performance 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

Revision of Lecture One

Revision of Lecture One System blocks and basic concepts Multiple access, MIMO, space-time Transceiver Wireless Channel Signal/System: Bandpass (Passband) Baseband Baseband complex envelope Linear system:

UNIK4230: Mobile Communications Spring 2013

UNIK4230: Mobile Communications Spring 2013 Abul Kaosher abul.kaosher@nsn.com Mobile: 99 27 10 19 1 UNIK4230: Mobile Communications Propagation characteristis of wireless channel Date: 07.02.2013 2 UNIK4230:

Project = An Adventure : Wireless Networks. Lecture 4: More Physical Layer. What is an Antenna? Outline. Page 1

Project = An Adventure 18-759: Wireless Networks Checkpoint 2 Checkpoint 1 Lecture 4: More Physical Layer You are here Done! Peter Steenkiste Departments of Computer Science and Electrical and Computer

Non-Data Aided Doppler Shift Estimation for Underwater Acoustic Communication

Non-Data Aided Doppler Shift Estimation for Underwater Acoustic Communication (Invited paper) Paul Cotae (Corresponding author) 1,*, Suresh Regmi 1, Ira S. Moskowitz 2 1 University of the District of Columbia,

UNIVERSITY 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

OFDM AS AN ACCESS TECHNIQUE FOR NEXT GENERATION NETWORK

OFDM AS AN ACCESS TECHNIQUE FOR NEXT GENERATION NETWORK Akshita Abrol Department of Electronics & Communication, GCET, Jammu, J&K, India ABSTRACT With the rapid growth of digital wireless communication

Unit 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

Fundamentals of Digital Communication

Fundamentals of Digital Communication Network Infrastructures A.A. 2017/18 Digital communication system Analog Digital Input Signal Analog/ Digital Low Pass Filter Sampler Quantizer Source Encoder Channel

CHAPTER 5 DIVERSITY. Xijun Wang

CHAPTER 5 DIVERSITY Xijun Wang WEEKLY READING 1. Goldsmith, Wireless Communications, Chapters 7 2. Tse, Fundamentals of Wireless Communication, Chapter 3 2 FADING HURTS THE RELIABILITY n The detection

Performance 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

TCM-coded OFDM assisted by ANN in Wireless Channels

1 Aradhana Misra & 2 Kandarpa Kumar Sarma Dept. of Electronics and Communication Technology Gauhati University Guwahati-781014. Assam, India Email: aradhana66@yahoo.co.in, kandarpaks@gmail.com Abstract

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:

ORTHOGONAL frequency division multiplexing (OFDM)

144 IEEE TRANSACTIONS ON BROADCASTING, VOL. 51, NO. 1, MARCH 2005 Performance Analysis for OFDM-CDMA With Joint Frequency-Time Spreading Kan Zheng, Student Member, IEEE, Guoyan Zeng, and Wenbo Wang, Member,

PERFORMANCE ANALYSIS OF DS-CDMA SYSTEM OVER AWGN AND FADING CHANNELS BASED ON DIVERSITY SCHEME

PERFORMANCE ANALYSIS OF DS-CDMA SYSTEM OVER AWGN AND FADING CHANNELS BASED ON DIVERSITY SCHEME 1 ARUNARASI JAYARAMAN, 2 INDUMATHI PUSHPAM 1 Department of Information and Communication Engineering, Anna

Swedish 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

TSTE17 System Design, CDIO. General project hints. Behavioral Model. General project hints, cont. Lecture 5. Required documents Modulation, cont.

TSTE17 System Design, CDIO Lecture 5 1 General project hints 2 Project hints and deadline suggestions Required documents Modulation, cont. Requirement specification Channel coding Design specification

SC - Single carrier systems One carrier carries data stream

Digital modulation SC - Single carrier systems One carrier carries data stream MC - Multi-carrier systems Many carriers are used for data transmission. Data stream is divided into sub-streams and each

Diversity Techniques using BPSK and QPSK Modulation in MIMO system under fading environment.

Diversity Techniques using BPSK and QPSK Modulation in MIMO system under fading environment. Deepak Bactor (M.tech 2 nd year) Rajbir Kaur (Asst. Prof.) Pankaj Bactor(Asst.Prof.) E.C.E.Dept.,Punjabi University,

Citation 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

CHAPTER 3 FADING & DIVERSITY IN MULTIPLE ANTENNA SYSTEM

CHAPTER 3 FADING & DIVERSITY IN MULTIPLE ANTENNA SYSTEM 3.1 Introduction to Fading 37 3.2 Fading in Wireless Environment 38 3.3 Rayleigh Fading Model 39 3.4 Introduction to Diversity 41 3.5 Space Diversity

Wireless Communication Systems: Implementation perspective

Wireless Communication Systems: Implementation perspective Course aims To provide an introduction to wireless communications models with an emphasis on real-life systems To investigate a major wireless

# - Joint Transmitter-Receiver Adaptive orward-link D-CDMA ystem Li Gao and Tan. Wong Department of Electrical & Computer Engineering University of lorida Gainesville lorida 3-3 Abstract A joint transmitter-receiver

Effect of AWGN & Fading (Rayleigh & Rician) Channels on BER Performance of Free Space Optics (FSO) Communication Systems

Effect of AWGN & Fading (Rayleigh & Rician) Channels on BER Performance of Free Space Optics (FSO) Communication Systems Taissir Y. Elganimi Electrical and Electronic Engineering Department, University

EC 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

Microwave 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

CDMA - QUESTIONS & ANSWERS http://www.tutorialspoint.com/cdma/questions_and_answers.htm Copyright tutorialspoint.com 1. What is CDMA? CDMA stands for Code Division Multiple Access. It is a wireless technology

Wideband 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

Implementation of a MIMO Transceiver Using GNU Radio

ECE 4901 Fall 2015 Implementation of a MIMO Transceiver Using GNU Radio Ethan Aebli (EE) Michael Williams (EE) Erica Wisniewski (CMPE/EE) The MITRE Corporation 202 Burlington Rd Bedford, MA 01730 Department

Pilot-Assisted DFT Window Timing/ Frequency Offset Synchronization and Subcarrier Recovery 5.1 Introduction

5 Pilot-Assisted DFT Window Timing/ Frequency Offset Synchronization and Subcarrier Recovery 5.1 Introduction Synchronization, which is composed of estimation and control, is one of the most important

Decrease Interference Using Adaptive Modulation and Coding

International Journal of Computer Networks and Communications Security VOL. 3, NO. 9, SEPTEMBER 2015, 378 383 Available online at: www.ijcncs.org E-ISSN 2308-9830 (Online) / ISSN 2410-0595 (Print) Decrease

PERFORMANCE 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,

Testing 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

QAM in Software Defined Radio for Vehicle Safety Application

Australian Journal of Basic and Applied Sciences, 4(10): 4904-4909, 2010 ISSN 1991-8178 QAM in Software Defined Radio for Vehicle Safety Application MA Hannan, Muhammad Islam, S.A. Samad and A. Hussain

Antennas and Propagation. Chapter 5

Antennas and Propagation Chapter 5 Introduction An antenna is an electrical conductor or system of conductors Transmission - radiates electromagnetic energy into space Reception - collects electromagnetic

Revision of Lecture One

Revision of Lecture One System block Transceiver Wireless Channel Signal / System: Bandpass (Passband) Baseband Baseband complex envelope Linear system: complex (baseband) channel impulse response Channel: