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Offers concise, practical knowledge on modern communication systems to help students transition smoothly into the workplace and beyond
This book presents the most relevant concepts and technologies of today's communication systems and presents them in a concise and intuitive manner. It covers advanced topics such as Orthogonal Frequency-Division Multiplexing (OFDM) and Multiple-Input Multiple-Output (MIMO) Technology, which are enabling technologies for modern communication systems such as WiFi (including the latest enhancements) and LTE-Advanced.
Following a brief introduction to the field, Digital Communication for Practicing Engineers immerses readers in the theories and technologies that engineers deal with. It starts off with Shannon Theorem and Information Theory, before moving on to basic modules of a communication system, including modulation, statistical detection, channel coding, synchronization, and equalization. The next part of the book discusses advanced topics such as OFDM and MIMO, and introduces several emerging technologies in the context of 5G cellular system radio interface. The book closes by outlining several current research areas in digital communications. In addition, this text:
* Breaks down the subject into self-contained lectures, which can be read individually or as a whole
* Focuses on the pros and cons of widely used techniques, while providing references for detailed mathematical analysis
* Follows the current technology trends, including advanced topics such as OFDM and MIMO
* Touches on content this is not usually contained in textbooks such as cyclo-stationary symbol timing recovery, adaptive self-interference canceler, and Tomlinson-Harashima precoder
* Includes many illustrations, homework problems, and examples
Digital Communication for Practicing Engineers is an ideal guide for graduate students and professionals in digital communication looking to understand, work with, and adapt to the current and future technology.
List of contents
Chapter 1 Introduction 1
1.1 Why this Book? 1
1.2 How to Use this Book 2
1.3 Scope 2
1.4 Roadmap 4
1.5 Other Notes 5
Acknowledgments 7
References 8
Chapter 2 Shannon Theorem and Information Theory 9
2.1 Introduction 9
2.2 Reliable Transmission with Noisy Channel 10
2.3 Entropy and Uncertainty 10
2.4 Entropy and Bit Length 14
2.5 Information Measured as Reduction of Uncertainty 18
2.6 Shannon Theorem 21
2.7 Additive White Gaussian Noise (AWGN) Channel 25
2.8 Frequency-Selective Channel and Water Filling 32
2.9 Summary 34
2.10 Appendix: Derivation of Entropy as a Measure of Uncertainty 34
2.11 Appendix: Compression Coding 38
References 43
Homework 43
Chapter 3 Single Carrier Modulation and Nyquist Sampling Theory 45
3.1 Introduction 45
3.2 Symbol Mapping 47
3.3 Nyquist-Shannon Sampling Theory 58
3.4 Pulse Shaping and Nyquist Criterion 69
3.5 Implementation of Pulse Shaping Filter: Up-Sampling 74
3.6 Baseband and Passband 76
3.7 Summary 85
3.8 Appendix: Fourier Transform 87
3.9 Appendix: Function Localization in Frequency and Time Domains 91
3.10 Appendix: Proof of the Nyquist Criterion 96
References 98
Homework 99
Chapter 4 Statistical Detection and Error Probability 101
4.1 Introduction 101
4.2 Wide-Sense Stationary (WSS) Process 102
4.3 AWGN Channel 108
4.4 Detection Problem and Maximum Likelihood Detection 115
4.5 Map and ML Detection with AWGN Channel 119
4.6 Matched Filter (MF) 122
4.7 Error Probability of Uncoded Modulations Under AWGN Model 137
4.8 Summary 146
4.9 Appendix: PSD of Modulated Signals 148
4.10 Appendix: Baseband Noise 151
4.11 Appendix: Representing Signals and Noises with Vectors 154
References 159
Homework 160
Chapter 5 Channel Coding 163
5.1 Introduction 163
5.2 Channel Coding or Forward Error Correction (FEC) 164
5.3 Block Code 169
5.4 Convolutional Code 182
5.5 Coding for Bandwidth-Limited Channels and Trellis-Coded Modulation (TCM) 203
5.6 Combined Codes 211
5.7 Turbo Code 213
5.8 Low-Density Parity-Check (LDPC) Code 225
5.9 Summary 231
5.10 Appendix: Upper Bound of Shaping Gain 233
5.11 Appendix: Probability Update at Parity Node 234
References 235
Homework 238
Chapter 6 Channel Characteristics 241
6.1 Introduction 241
6.2 Channel Gain and Channel Classification 243
6.3 Constant Flat Channels 246
6.4 Flat Fading Channel 252
6.5 Time Dispersion and Frequency-Selective Fading 262
6.6 Channel Formulation in Frequency and Time Domains 265
6.7 Channel Modeling Methods 270
6.8 Link Budget Computation 273
6.9 Summary 282
6.10 Appendix: Channel Gain in Passband and Baseband 284
References 286
Homework 288
Chapter 7 Synchronization 291
7.1 Introduction 291
7.2 Synchronization Overview 293
7.3 Timing Control and Correction 299
7.4 Timing Error Estimate 311
7.5 Initial Acquisition 325
7.6 Summary 328
References 329
Homework 330
Chapter 8 Adaptive Filter 333
8.1 Introduction 333
8.2 Adaptive Filter Overv
About the author
FENG OUYANG, PHD, is a senior member of professional staff for Wireless Technology Analysis at the Johns Hopkins University Applied Physics Laboratory and an adjunct faculty member at the John Hopkins University Whiting School of Engineering. He was previously a technical manager at Conexant Systems and a staff member at Bell Labs. He has served as TPC member and session chair for IEEE MILCOM and IEEE Globecom. He earned his Ph.D. in Applied and Engineering Physics from Cornell University.
