Arthur A. Giordano, Allen H. Levesque

Modeling of Digital Communication Systems Using SIMULINK (eBook, ePUB)

• Format: ePub

Produktbeschreibung

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 * 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.

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Produktdetails

• Verlag: John Wiley & Sons
• Seitenzahl: 416
• Erscheinungstermin: 1. April 2015
• Englisch
• ISBN-13: 9781119009535
• Artikelnr.: 42653782

Autorenporträt

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®' SIMULINK®® 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.

Inhaltsangabe

Preface xiii
Acknowledgments xix
About the Companion website xxi
Abbreviations and Acronyms xxiii
1 Getting Started with Simulink 1
1.1 Introduction 1
1.2 Starting a Matlab Session 2
1.3 Simulink Block Libraries 3
1.4 Building a New Simulink Model 6
1.4.1 Inserting Signal Source and Scope 6
1.4.2 Setting the Source Block Parameters 8
1.4.3 Setting Scope Parameters 9
1.5 Executing the Simulink Model 11
1.6 Reconfiguring the Signal Block 14
1.7 Sample-Based Signals 16
1.8 Sending Data to Workspace 18
1.9 Using Model Explorer 19
1.10 Adding Labels to Figures 21
1.11 Selecting Model Configuration Parameters 22
1.12 Summary Discussion 24
Problems 25
2 Sinusoidal Simulink Model 27
2.1 A First Simulink Model 27
2.2 Simulink Model of Sine Wave 27
2.3 Spectrum of a Sine Wave 32
2.4 Summary Discussion 40
Problems 41
3 Digital Communications BER Performance in AWGN (BPSK and QPSK) 43
3.1 BPSK and QPSK Error Rate Performance in AWGN 43
3.2 Construction of a Simulink Model in Simple Steps 44
3.3 Comparison of Simulated and Theoretical BER 56
3.4 Alternate Simulink Model for BPSK 58
3.5 Frame-Based Simulink Model 62
3.6 QPSK Symbol Error Rate Performance 64
3.7 BPSK Fixed Point Performance 68
3.8 Summary Discussion 73
Appendix 3.A Theoretical BER Performance of BPSK in AWGN 73
Problems 75
4 Digital Communications BER Performance in AWGN (MPSK&QAM) 79
4.1 MPSK and QAM Error Rate Performance in AWGN 79
4.2 MPSK Simulink Model 79
4.3 BER for Other Alphabet Sizes 83
4.4 Fixed Point BER for MPSK 83
4.5 QAM Simulink Model 85
4.6 QAM BER for Other Alphabet Sizes Using Average Power 90
4.7 QAM BER Using Peak Power 90
4.8 Power Amplifier Constraint Using Peak Power Selection with QAM 91
4.9 Summary Discussion 99
Problems 100
5 Digital Communications BER Performance in AWGN (FSK and MSK) 101
5.1 FSK and MSK Error Rate Performance in AWGN 101
5.2 BFSK Simulink Model 101
5.3 MFSK Simulink Model 107
5.4 MSK Simulink Model 108
5.5 MSK Power Spectrum 113
5.6 Summary Discussion 116
Problems 117
6 Digital Communications BER Performance in AWGN (BPSK in Fading) 119
6.1 BPSK in Rayleigh and Rician Fading 119
6.2 BPSK BER Performance in Rayleigh Fading 119
6.3 BPSK BER Performance in Rician Fading 124
6.4 BPSK BER Performance in Rician Fading with Multipath 127
6.5 Summary Discussion 137
Appendix 6.A Theoretical BER Performance of BPSK in Rayleigh Fading 137
Appendix 6.B Theoretical BER Performance of BPSK in Rician Fading 138
Problems 139
7 Digital Communications BER Performance in AWGN (FSK in Fading) 141
7.1 FSK in Rayleigh and Rician Fading 141
7.2 BFSK BER Performance in Rayleigh Fading 141
7.3 MFSK BER Performance in Rayleigh Fading 142
7.4 BFSK BER Performance in Rician Fading 147
7.5 BFSK BER Performance in Rician Fading with Multipath 148
7.6 Summary Discussion 150
Appendix 7.A Theoretical BER Performance of FSK in Rayleigh and Rician
Fading 152
Rayleigh Fading 152
Rician Fading 153
Problems 154
8 Digital Communications BER Performance (STBC) 157
8.1 Digital Modulations in Rayleigh Fading with STBC 157
8.2 BPSK BER in Rayleigh Fading with STBC 157
8.3 QAM BER in Rayleigh Fading with STBC 163
8.4 Summary Discussion 163
Appendix 8.A Space-Time Block Coding for BPSK 165
Appendix 8.B Space-Time Block Coding for 16-QAM 167
Problems 169
9 Digital Communications BER Performance in AWGN (Block Coding) 171
9.1 Digital Communications with Block Coding in AWGN 171
9.2 BER Performance of BPSK in AWGN with a Binary BCH Block Code 171
9.3 BER Performance of BPSK in AWGN with a Hamming Code 175
9.4 BER Performance of BPSK in AWGN with a Golay(24,12) Block Code 179
9.5 BER Performance of FSK in AWGN with Reed-Solomon Code 181
9.6 BER Performance of QAM in AWGN with Reed-Solomon Coding 186
9.7 Summary Discussion 190
Problems 192
10 Digital Communications BER Performance in AWGN (Block Coding and Fading)
193
10.1 Digital Communications with Block Coding in Fading 193
10.2 BER Performance of BPSK in Rayleigh Fading with Interleaving and a BCH
Block Code 194
10.3 BER Performance of BFSK in Rayleigh Fading with Interleaving and a
Golay(24,12) Block Code 195
10.4 BER Performance of 32-FSK in Rayleigh Fading with Interleaving and a
Reed-Solomon(31,15) Block Code 201
10.5 BER Performance of 16-QAM in Rayleigh Fading with Interleaving and a
Reed-Solomon(15,7) Block Code 204
10.6 BER Performance of 16-QAM in Rayleigh and Rician Fading with
Interleaving and a Reed-Solomon(15,7) Block Code 208
10.7 BER Performance of BPSK in Rayleigh Fading with Interleaving and a BCH
Block Code and Alamouti STBC 210
10.8 BER Performance of BFSK in Rayleigh Fading with Interleaving and a
Golay(24,12) Block Code and Alamouti STBC 215
10.9 BER Performance of 32-FSK in Rayleigh Fading with Interleaving and a
Reed-Solomon(31,15) Block Code and Alamouti STBC 218
10.10 BER Performance of 16-QAM in Rayleigh Fading with Interleaving and a
Reed-Solomon (15,7) Block Code and Alamouti STBC 219
10.11 Summary Discussion 223
Problems 224
11 Digital Communications BER Performance in AWGN and Fading (Convolutional
Coding) 225
11.1 Digital Communications with Convolutional Coding in AWGN and Fading
225
11.2 BER Performance of Convolutional Coding and BPSK in AWGN 226
11.2.1 Hard-Decision Decoding 226
11.2.2 Soft-Decision Decoding 229
11.3 BER Performance of Convolutional Coding and BPSK in AWGN and Rayleigh
Fading with Interleaving (Soft- and Hard-Decision Decoding) 233
11.4 BER Performance of Convolutional Coding and BPSK and Alamouti STBC in
Rayleigh Fading with Interleaving 239
11.5 Summary Discussion 243
Problems 244
12 Adaptive Equalization in Digital Communications 247
12.1 Adaptive Equalization 247
12.2 BER Performance of BPSK in Dispersive Multipath Channel Using an LMS
Linear Equalizer 248
12.3 BER Performance of BPSK in Dispersive Multipath Channel Using an LMS
Linear Equalizer From the Simulink Library 257
12.4 BER Performance of QPSK in a channel with ISI Using an LMS Linear
Equalizer 258
12.5 BER Performance of BPSK in Dispersive Multipath Channel Using a
Decision Feedback Equalizer 268
12.6 BER Performance of BPSK in Rayleigh Fading Multipath Channel Using an
RLS Equalizer 273
12.6.1 RLS Equalizer Description 273
12.6.2 RLS Equalization in Rayleigh Fading with No Multipath 275
12.6.3 RLS Equalization in Rayleigh Fading with Multipath 279
12.7 Summary Discussion 280
Problems 283
13 Simulink Examples 285
13.1 Linear Predictive Coding (LPC) for Speech Compression 286
13.1.1 Speech Vocal Tract Model 289
13.1.2 Prediction Coefficients Computation 289
13.1.3 Speech Analysis and Synthesis 289
13.2 RLS Interference Cancellation 291
13.2.1 Sinusoidal Interference 291
13.2.2 Low Pass Filtered Gaussian Noise 296
13.3 Spread Spectrum 298
13.3.1 Spread Spectrum Simulink Model without In-Band Interference 298
13.3.2 Spread Spectrum Simulink Model with In-Band Interference 303
13.3.3 Spread Spectrum Simulink Model with In-Band Interference and
Excision 309
13.4 Antenna Nulling 313
13.5 Kalman Filtering 320
13.5.1 Scalar Kalman Filter 322
13.5.2 Kalman Equalizer 328
13.5.3 Radar Tracking Using Extended Kalman Filter (EKF) 339
13.6 Orthogonal Frequency Division Multiplexing 343
13.7 Turbo Coding with BPSK 355
Appendix A Principal Simulink Blocks Used In Chapters 1-13 363
Appendix B Further Reading 369
Index 371