Modeling of Digital Communication Systems Using Simulink®

A comprehensive and detailed treatment of the program SIMULINK® that focuses on SIMULINK® for simulations in Digital and Wireless CommunicationsModeling of Digital Communication Systems Using SIMULINK® introduces the reader to SIMULINK®, an extension of the widely-used MATLAB modeling tool, and the use of SIMULINK® in modeling and simulating digital communication systems, including wireless communication systems. Readers will learn to model a wide selection of digital communications techniques and evaluate their performance for many important channel conditions. Modeling of Digital Communication Systems Using SIMULINK® is organized in two parts. The first addresses Simulink® models of digital communications systems using various modulation, coding, channel conditions and receiver processing techniques. The second part provides a collection of examples, including speech coding, interference cancellation, spread spectrum, adaptive signal processing, Kalman filtering and modulation and coding techniques currently implemented in mobile wireless systems. Covers case examples, progressing from basic to complex Provides applications for mobile communications, satellite communications, and fixed wireless systems that reveal the power of SIMULINK modeling Includes access to useable SIMULINK® simulations online All models in the text have been updated to R2018a; only problem sets require updating to the latest release by the user Covering both the use of SIMULINK® in digital communications and the complex aspects of wireless communication systems, Modeling of Digital Communication Systems UsingSIMULINK® is a great resource for both practicing engineers and students with MATLAB experience. Cover 1 Contents 9 Preface 15 Acknowledgments 21 About the Companion website 23 Abbreviations and Acronyms 25 Chapter 1 Getting Started with Simulink 27 1.1 Introduction 27 1.2 Starting a Matlab Session 28 1.3 Simulink Block Libraries 29 1.4 Building a New Simulink Model 32 1.4.1 Inserting Signal Source and Scope 32 1.4.2 Setting the Source Block Parameters 34 1.4.3 Setting Scope Parameters 35 1.5 Executing the Simulink Model 37 1.6 Reconfiguring the Signal Block 40 1.7 Sample-Based Signals 42 1.8 Sending Data to Workspace 44 1.9 Using Model Explorer 45 1.10 Adding Labels to Figures 47 1.11 Selecting Model Configuration Parameters 48 1.12 Summary Discussion 50 Problems 51 Chapter 2 Sinusoidal Simulink Model 53 2.1 A First Simulink Model 53 2.2 Simulink Model of Sine Wave 53 2.3 Spectrum of a Sine Wave 58 2.4 Summary Discussion 66 Problems 67 Chapter 3 Digital Communications BER Performance in AWGN (BPSK and QPSK) 69 3.1 BPSK and QPSK Error Rate Performance in AWGN 69 3.2 Construction of a Simulink Model in Simple Steps 70 3.3 Comparison of Simulated and Theoretical BER 82 3.4 Alternate Simulink Model for BPSK 84 3.5 Frame-Based Simulink Model 88 3.6 QPSK Symbol Error Rate Performance 90 3.7 BPSK Fixed Point Performance 94 3.8 Summary Discussion 99 Appendix 3.A Theoretical BER Performance of BPSK in AWGN 99 Problems 101 Chapter 4 Digital Communications BER Performance in AWGN (MPSK & QAM) 105 4.1 MPSK and QAM Error Rate Performance in AWGN 105 4.2 MPSK Simulink Model 105 4.3 BER for Other Alphabet Sizes 109 4.4 Fixed Point BER for MPSK 109 4.5 QAM Simulink Model 111 4.6 QAM BER for Other Alphabet Sizes Using Average Power 116 4.7 QAM BER Using Peak Power 116 4.8 Power Amplifier Constraint Using Peak Power Selection with QAM 117 4.9 Summary Discussion 125 Problems 126 Chapter 5 Digital Communications BER Performance in AWGN (FSK and MSK) 127 5.1 FSK and MSK Error Rate Performance in AWGN 127 5.2 BFSK Simulink Model 127 5.3 MFSK Simulink Model 133 5.4 MSK Simulink Model 134 5.5 MSK Power Spectrum 139 5.6 Summary Discussion 142 Problems 143 Chapter 6 Digital Communications BER Performance in AWGN (BPSK in Fading) 145 6.1 BPSK in Rayleigh and Rician Fading 145 6.2 BPSK BER Performance in Rayleigh Fading 145 6.3 BPSK BER Performance in Rician Fading 150 6.4 BPSK BER Performance in Rician Fading with Multipath 153 6.5 Summary Discussion 163 Appendix 6.A Theoretical BER Performance of BPSK in Rayleigh Fading 163 Appendix 6.B Theoretical BER Performance of BPSK in Rician Fading 164 Problems 165 Chapter 7 Digital Communications BER Performance in AWGN (FSK in Fading) 167 7.1 FSK in Rayleigh and Rician Fading 167 7.2 BFSK BER Performance in Rayleigh Fading 167 7.3 MFSK BER Performance in Rayleigh Fading 168 7.4 BFSK BER Performance in Rician Fading 173 7.5 BFSK BER Performance in Rician Fading with Multipath 174 7.6 Summary Discussion 176 Appendix 7.A Theoretical BER Performance of FSK in Rayleigh and Rician Fading 178 Rayleigh Fading 178 Rician Fading 179 Problems 180 Chapter 8 Digital Communications BER Performance (STBC) 183 8.1 Digital Modulations in Rayleigh Fading with STBC 183 8.2 BPSK BER in Rayleigh Fading with STBC 183 8.3 QAM BER in Rayleigh Fading with STBC 189 8.4 Summary Discussion 189 Appendix 8.A Space-Time Block Coding for BPSK 191 Appendix 8.B Space-Time Block Coding for 16-QAM 193 Problems 195 Chapter 9 Digital Communications BER Performance in AWGN (Block Coding) 197 9.1 Digital Communications with Block Coding in AWGN 197 9.2 BER Performance of BPSK in AWGN with a Binary BCH Block Code 197 9.3 BER Performance of BPSK in AWGN with a Hamming Code 201 9.4 BER Performance of BPSK in AWGN with a Golay(24,12) Block Code 205 9.5 BER Performance of FSK in AWGN with Reed-Solomon Code 207 9.6 BER Performance of QAM in AWGN with Reed-Solomon Coding 212 9.7 Summary Discussion 216 Problems 218 Chapter 10 Digital Communications BER Performance in AWGN (Block Coding and Fading) 219 10.1 Digital Communications with Block Coding in Fading 219 10.2 BER Performance of BPSK in Rayleigh Fading with Interleaving and a BCH Block Code 220 10.3 BER Performance of BFSK in Rayleigh Fading with Interleaving and a Golay(24,12) Block Code 221 10.4 BER Performance of 32-FSK in Rayleigh Fading with Interleaving and a Reed-Solomon(31,15) Block Code 227 10.5 BER Performance of 16-QAM in Rayleigh Fading with Interleaving and a Reed-Solomon(15,7) Block Code 230 10.6 BER Performance of 16-QAM in Rayleigh and Rician Fading with Interleaving and a Reed-Solomon(15,7) Block Code 234 10.7 BER Performance of BPSK in Rayleigh Fading with Interleaving and a BCH Block Code and Alamouti STBC 236 10.8 BER Performance of BFSK in Rayleigh Fading with Interleaving and a Golay(24,12) Block Code and Alamouti STBC 241 10.9 BER Performance of 32-FSK in Rayleigh Fading with Interleaving and a Reed-Solomon(31,15) Block Code and Alamouti STBC 244 10.10 BER Performance of 16-QAM in Rayleigh Fading with Interleaving and a Reed-Solomon (15,7) Block Code and Alamouti STBC 245 10.11 Summary Discussion 249 Problems 250 Chapter 11 Digital Communications BER Performance in AWGN and Fading (Convolutional Coding) 251 11.1 Digital Communications with Convolutional Coding in AWGN and Fading 251 11.2 BER Performance of Convolutional Coding and BPSK in AWGN 252 11.2.1 Hard-Decision Decoding 252 11.2.2 Soft-Decision Decoding 255 11.3 BER Performance of Convolutional Coding and BPSK in AWGN and Rayleigh Fading with Interleaving (Soft- and Hard-Decision Decoding) 259 11.4 BER Performance of Convolutional Coding and BPSK and Alamouti STBC in Rayleigh Fading with Interleaving 265 11.5 Summary Discussion 269 Problems 270 Chapter 12 Adaptive Equalization in Digital Communications 273 12.1 Adaptive Equalization 273 12.2 BER Performance of BPSK in Dispersive Multipath Channel Using an LMS Linear Equalizer 274 12.3 BER Performance of BPSK in Dispersive Multipath Channel Using an LMS Linear Equalizer From the Simulink Library 283 12.4 BER Performance of QPSK in a channel with ISI Using an LMS Linear Equalizer 284 12.5 BER Performance of BPSK in Dispersive Multipath Channel Using a Decision Feedback Equalizer 294 12.6 BER Performance of BPSK in Rayleigh Fading Multipath Channel Using an RLS Equalizer 299 12.6.1 RLS Equalizer Description 299 12.6.2 RLS Equalization in Rayleigh Fading with No Multipath 301 12.6.3 RLS Equalization in Rayleigh Fading with Multipath 305 12.7 Summary Discussion 306 Problems 309 Chapter 13 Simulink Examples 311 13.1 Linear Predictive Coding (LPC) for Speech Compression 312 13.1.1 Speech Vocal Tract Model 315 13.1.2 Prediction Coefficients Computation 315 13.1.3 Speech Analysis and Synthesis 315 13.2 RLS Interference Cancellation 317 13.2.1 Sinusoidal Interference 317 13.2.2 Low Pass Filtered Gaussian Noise 322 13.3 Spread Spectrum 324 13.3.1 Spread Spectrum Simulink Model without In-Band Interference 324 13.3.2 Spread Spectrum Simulink Model with In-Band Interference 329 13.3.3 Spread Spectrum Simulink Model with In-Band Interference and Excision 335 13.4 Antenna Nulling 339 13.5 Kalman Filtering 346 13.5.1 Scalar Kalman Filter 348 13.5.2 Kalman Equalizer 354 13.5.3 Radar Tracking Using Extended Kalman Filter (EKF) 365 13.6 Orthogonal Frequency Division Multiplexing 369 13.7 Turbo Coding with BPSK 381 Index 397 EULA 404 A comprehensive and detailed treatment of the program SIMULINK(R) that focuses on SIMULINK(R) for simulations in Digital and Wireless Communications Modeling of Digital Communication Systems Using SIMULINK(R) introduces the reader to SIMULINK(R), an extension of the widely-used MATLAB modeling tool, and the use of SIMULINK(R) in modeling and simulating digital communication systems, including wireless communication systems. Readers will learn to model a wide selection of digital communications techniques and evaluate their performance for many important channel conditions. Modeling of Digital Communication Systems Using SIMULINK(R) is organized in two parts. The first addresses address Simulink(R) models of digital communications systems using various modulation, coding, channel conditions and receiver processing techniques. The second part provides a collection of examples, including speech coding, interference cancellation, spread spectrum, adaptive signal processing, Kalman filtering and modulation and coding techniques currently implemented in 4G wireless systems. . Covers case examples, progressing from basic to complex. Provides applications for 4G mobile communications, satellite communications, and fixed wireless systems that reveal the power of SIMULINK modeling. Includes access to useable SIMULINK(R) simulations online Covering both the use of SIMULINK(R) in digital communications and the complex aspects of wireless communication systems, Modeling of Digital Communication Systems UsingSIMULINK(R) is a great resource for both practicing engineers and students with MATLAB experience. Arthur Giordano, PhD, is a consultant in the field of military and commercial communications specializing in wireless communications. He is a co-founder of G5 Scientific, LLC, is a senior member of the IEEE and has taught graduate communications courses. He has developed numerous models using MathWorks(R)' SIMULINK(R)(R) to characterize digital communications systems. Allen Levesque, PhD, / is a consultant specializing in digital communications systems, and is a partner in G5 Scientific, LLC. He has taught graduate courses in digital communications at Worcester Polytechnic Institute and is currently a Research Scientist in WPI's Center for Wireless Information Network Studies. Dr. Levesque is an elected Fellow of the IEEE. / A comprehensive and detailed treatment of the modeling tool Simulink℗ʼ that focuses on simulations in Digital and Wireless Communications, Modeling of Digital Communication Systems Using Simulink℗ʼ introduces the reader to Simulink℗ʼ, an extension of the widely used Matlab℗ʼ modeling tool, and the use of Simulink℗ʼ in modeling and simulating digital communication systems, including wireless communication systems. Readers will learn to model a wide selection of digital communications techniques and evaluate their performance for many important channel conditions. Modeling of Digital Communication Systems Using Simulink℗ʼ is organized in two parts. The first part addresses Simulink℗ʼ models of digital communications systems using various modulation, coding, channel conditions, and receiver processing techniques. The second part provides a collection of examples, including speech coding, interference cancellation, spread spectrum, adaptive signal processing, Kalman filtering, and modulation and coding techniques currently implemented in mobile wireless systems. Covers case examples, progressing from basic to complex, Provides applications for mobile communications, satellite communications, and fixed wireless systems that reveal the power of Simulink℗ʼ modeling, Includes access to useable Simulink℗ʼ simulations online, Covering both the use of Simulink℗ʼ in digital communications and the complex aspects of wireless communication systems, Modeling of Digital Communication Systems Using Simulink℗ʼ is a great resource for both practicing engineers and students with MATLAB℗ʼ experience A comprehensive and detailed treatment of the program SIMULINK that focuses on SIMULINK for simulations in Digital and Wireless Communications Modeling of Digital Communication Systems Using SIMULINK introduces the reader to SIMULINK, an extension of the widely-used MATLAB modeling tool, and the use of SIMULINK in modeling and simulating digital communication systems, including wireless communication systems. Readers will learn to model a wide selection of digital communications techniques and evaluate their performance for many important channel conditions. Modeling of Digital Communication Systems Using SIMULINK is organized in two parts. The first addresses Simulink models of digital communications systems using various modulation, coding, channel conditions and receiver processing techniques. The second part provides a collection of examples, including speech coding, interference cancellation, spread spectrum, adaptive signal processing, Kalman filtering and modulation and coding techniques currently implemented in mobile wireless systems. Covers case examples, progressing from basic to complex Provides applications for mobile communications, satellite communications, and fixed wireless systems that reveal the power of SIMULINK modeling Includes access to useable SIMULINK simulations online Covering both the use of SIMULINK in digital communications and the complex aspects of wireless communication systems, Modeling of Digital Communication Systems Using SIMULINK is a great resource for both practicing engineers and students with MATLAB experience