Details

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

<b>Arthur Giordano, PhD</b>, 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<b><i>®</i></b>’ SIMULINK®<b><i>®</i></b> to characterize digital communications systems.<br /> <br /> <b>Allen Levesque, PhD,</b> 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.

<p><b>A comprehensive and detailed treatment of the program SIMULINK® that focuses on SIMULINK® for simulations in Digital and Wireless Communications<br /> <br /> </b><i>Modeling of Digital Communication Systems Using</i> <i>SIMULINK®</i> 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. <i>Modeling of Digital Communication Systems Using</i> <i>SIMULINK</i>® is organized in two parts. The first addresses address Simulink<b><i>®</i></b> 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.<br /> <br /> </p> <ul> <li>Covers case examples, progressing from basic to complex</li> <li>Provides applications for 4G mobile communications, satellite communications, and fixed wireless systems that reveal the power of SIMULINK modeling</li> <li>Includes access to useable SIMULINK® simulations online</li> </ul> <p><br /> Covering both the use of SIMULINK® in digital communications and the complex aspects of wireless communication systems, <i>Modeling of Digital Communication Systems Using</i><i>SIMULINK</i><b><i>®</i></b> is a great resource for both practicing engineers and students with MATLAB experience.<br /> <br /> <b>Arthur Giordano, PhD</b>, 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<b><i>®</i></b>’ SIMULINK®<b><i>®</i></b> to characterize digital communications systems.<br /> <br /> <b>Allen Levesque, PhD,</b> 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.</p> <p> </p>

US