Digital Communication (4th Edition) (4th Edition)

Author: Zhang Lijun
Publisher:
Publish Date: 2003-01-01
Features: This book is a classic textbook in the field of digital communication. Through a review of probability theory and stochastic processes, it provides a detailed introduction to digital and analog source coding, characteristics of digital modulation signals and narrowband signals and systems, modulation and optimal modulation and detection methods for digital communication in additive Gaussian white noise, carrier phase estimation and timing synchronization methods based on the maximum likelihood criterion, channel capacity and random coding of different channel models, signal design for band-limited channels, demodulation and detection of signals degraded by inter-symbol interference, adaptive channel equalization, multi-channel and multi-carrier modulation, spread-spectrum signals and systems, and digital communication over fading channels. This book is suitable for senior undergraduate students, graduate students, and engineering technicians majoring in communication engineering. Digital Communication (4th Edition) has been revised based on the 3rd Edition, adding several new topics, including serial and parallel concatenated codes, punctured concatenated codes, Turbo trellis coded modulation (TCM) and Turbo equalization, and spatial multiplexing. As this is an introductory textbook, the discussion and scope of these topics are limited.
This book is suitable as a textbook for first-year graduate students in the Department of Electronic Engineering, as well as a self-study textbook and reference for engineers engaged in the design of digital communication systems. To read this book, readers should have a background in basic calculus, linear system theory, and probability theory and stochastic processes.
Chapter 1 serves as an introduction to the book's themes, including review and prospect, description of channel characteristics, and channel models.
Chapter 2 reviews the basic concepts of probability theory and stochastic processes. It covers some probability distribution functions and matrices used in the book, including the derivation of Chernoff bounds. The bounds are useful in determining performance boundaries for digital communication systems.
Chapter 3 discusses digital and analog source coding, focusing on scalar and vector quantization techniques, and compares the fundamental results of rate-distortion theory.
Chapter 4 introduces the characteristics of digital modulation signals and narrowband signals and systems, and also discusses the spectral characteristics of digital modulation signals. New material has been added on the linear representation of CPM signals.
Chapter 5 discusses modulation and optimal modulation and detection methods for digital communication in additive Gaussian white noise channels. The focus is on the error rate performance of various digital signal transmissions and the corresponding bandwidth requirements for the signals relative to the channel bandwidth.
Chapter 6 is dedicated to carrier phase estimation and timing synchronization methods based on the maximum likelihood criterion, describing both decision-directed and non-decision-directed approaches.
Chapter 7 discusses the channel capacity and random coding of several different channel models.
Chapter 8 discusses linear block codes and convolutional codes. New topics added to this chapter include serial and parallel interleaved convolutional codes, soft-output Viterbi algorithm (SOVA), and TurboTCM.
Chapter 9 focuses on signal design for band-limited channels. The topics covered in this chapter include partial response signals and run-length-limited codes for spectral shaping.
Chapter 10 discusses demodulation and detection of signals degraded by inter-symbol interference, with a focus on optimal and suboptimal equalization methods and their performance. New topics added to this chapter include Tomlinson-Harashima precoding, complexity-reduced maximum likelihood detection, and Turbo equalization.
Chapter 11 discusses adaptive channel equalization, describing the LMS and recursive least squares algorithms and their performance characteristics. The chapter also discusses blind equalization algorithms. New topics added include tap-leakage algorithms and methods for accelerating LMS initial convergence.
Chapter 12 discusses multi-channel and multi-carrier modulation. Given the several important applications developed over the past 20 years, this topic is particularly practical.
Chapter 13 is dedicated to spread-spectrum signals and systems. The chapter focuses on the benefits of coding in spread-spectrum signal design.
Chapter 14 discusses digital communication over fading channels. It studies several statistical models of channel fading, with a focus on Rayleigh fading and Nakagami fading. The chapter also includes trellis coding for fading channels. New content includes a brief discussion of mobile wireless channel fading and multipath, receiver structures for inter-symbol interference fading multipath channels, and spatial multiplexing using multiple transmit and receive antennas.
Chapter 15 discusses multi-user communication issues, with a focus on code division multiple access (CDMA), signal detection, and random access methods such as ALOHA and carrier sense multiple access (CSMA).
Instructors using this book can flexibly design a semester-long or two-semester course based on the 15 chapters and related topics. Chapters 3–6 provide a basic discussion of digital modulation/demodulation and detection methods. Channel coding discussed in Chapters 7 and 8 can be covered alongside modulation and demodulation as part of a semester-long course. Channel equalization, fading channels, spread-spectrum, and multi-user communication can be covered as part of a second semester course.