數(shù)字通信

前言

　　JohnG.Proakis和Masoud Salehi所著的《數(shù)字通信（第五版）》是著者多年教學(xué)和科研的總結(jié)，是一本比較全面、系統(tǒng)、深入論述數(shù)字通信理論的經(jīng)典力作，在學(xué)術(shù)界有很大的影響，同時(shí)也是一本優(yōu)秀的研究生教材，多年來，國內(nèi)外許多高等院校普遍采用本書作為信息和通信專業(yè)的研究生教材?！稊?shù)字通信（第五版）》有16章，共800多頁/1100多頁（中譯版/英文版），內(nèi)容十分豐富。麥格勞-希爾（亞洲）教育出版公司和電子工業(yè)出版社考慮到國內(nèi)高等院校相關(guān)專業(yè)教學(xué)實(shí)際情況和讀者的需求，計(jì)劃在《數(shù)字通信（第五版）》的基礎(chǔ)上適當(dāng)?shù)馗木幊霭姹緯木?jiǎn)版，要求精簡(jiǎn)版的篇幅大約為完全版的一半，以更好地適應(yīng)國內(nèi)教學(xué)和讀者的需求?！　∮捎诰?jiǎn)的篇幅相當(dāng)大，確定精簡(jiǎn)原則并制定一個(gè)周密的精簡(jiǎn)方案是非常重要的。為此，有必要先對(duì)《數(shù)字通信（第五版）》的結(jié)構(gòu)和內(nèi)容進(jìn)行分析，全書的內(nèi)容大致可分為三大部分：第一部分為數(shù)字傳輸理論（第1、2、3、4、5、9、10等章，約占全書篇幅44%），主要內(nèi)容是論述通信信號(hào)、數(shù)字調(diào)制、同步和自適應(yīng)均衡等；第二部分為信息傳輸理論（第6、7、8章，約占全書篇幅24%），主要論述信息論基礎(chǔ)、信源編碼和信道糾錯(cuò)編碼等；第三部分為無線通信基礎(chǔ)（第11、12、13、14、15、16等章，約占全書篇幅32%），主要論述衰落信道、擴(kuò)頻、多載波、多天線、多用戶通信等。這三部分內(nèi)容不是截然分割，而是相互交叉、緊密聯(lián)系的完整的理論體系。例如，第一部分是傳統(tǒng)的數(shù)字通信理論基礎(chǔ)，當(dāng)然也是無線通信的基礎(chǔ)。第三部分在討論無線通信的論題時(shí)，更多地應(yīng)用了第二部分的信息論與編碼、信道糾錯(cuò)編碼的理論知識(shí)。　　考慮精簡(jiǎn)的要求和實(shí)際的教學(xué)情況，并結(jié)合多年的教學(xué)經(jīng)驗(yàn)，確定以下的精簡(jiǎn)原則：保留信號(hào)傳輸理論內(nèi)容（上述第一和第三兩個(gè)部分），舍去信息傳輸理論內(nèi)容（上述第二部分），并以傳統(tǒng)而經(jīng)典的數(shù)字傳輸理論為主，無線通信為輔。第一部分基本完整地保留數(shù)字傳輸理論基礎(chǔ)體系，主要精簡(jiǎn)其中比較深入的高級(jí)論題的內(nèi)容。第二部分全部精簡(jiǎn)。第三部分無線通信基礎(chǔ)除了精簡(jiǎn)與第二部分有關(guān)的內(nèi)容其余均保留?！　【?jiǎn)方案如下：　　整章精簡(jiǎn)的有第6、7、8、14、16五章。主要鑒于以下的考慮：要求精簡(jiǎn)的幅度很大同時(shí)也不可能大幅度改寫原著各章的內(nèi)容；許多院校都開設(shè)了《信息論與編碼》和《糾錯(cuò)編碼》等課程；課時(shí)有限等。　　整章保留的有第3、5、11、13四章。　　部分精簡(jiǎn)的有第1、2、4、9、10、12、15七章。部分精簡(jiǎn)的內(nèi)容主要基于以下的考慮：　　非基本教學(xué)內(nèi)容或后續(xù)專業(yè)課有更深入的介紹，深入的高級(jí)論題，與信息論及編碼有關(guān)的內(nèi)容，篇幅限制等。　　在第2章中，除了精簡(jiǎn)部分小節(jié)內(nèi)容外，還對(duì)2.1節(jié)（帶通與低通信號(hào)的表示）和2.9節(jié)（帶通和低通隨機(jī)過程）的內(nèi)容進(jìn)行了改寫。2.1節(jié)的名稱改為“帶通信號(hào)與系統(tǒng)的表示”，本節(jié)包含2.1.1節(jié)（帶通信號(hào)的表示法）和2.1.2節(jié)（帶通系統(tǒng)對(duì)帶通信號(hào)的響應(yīng)）。2.9節(jié)的名稱改為“帶通平穩(wěn)隨機(jī)過程”?！　?.1節(jié)的改寫方法主要參照《數(shù)字通信（第四版）》中4.1節(jié)（帶通信號(hào)與系統(tǒng)的表示）?！　「膶懼饕谝韵碌目紤]：　?。?）《數(shù)字通信（第五版）》中2.1節(jié)介紹的傅里葉變換知識(shí)在先修課程“信號(hào)與系統(tǒng)”中已學(xué)過，可以省去。　?。?）《數(shù)字通信（第五版）》中2.1節(jié)介紹的帶通系統(tǒng)輸出復(fù)包絡(luò)有－1/2系數(shù)[見式（2-1-30）]，這種表示方法不如《數(shù)字通信（第四版）》的表示方法[見式（4-1-36）]好，當(dāng)然這與兩版的帶通系統(tǒng)的表示方法不同有關(guān)。根據(jù)教學(xué)經(jīng)驗(yàn)，《數(shù)字通信（第四版）》的表示方法比較好，讀者更容易理解、記憶并掌握帶通信號(hào)與系統(tǒng)的等效低通分析方法及其相關(guān)的概念。其實(shí)，《數(shù)字通信（第四版）》的表示方法早在S.斯坦與J.J瓊斯著《現(xiàn)代通信原理》（科學(xué)出版社，1979年，英文原版S.Stein，J.J.Jones，Modern Communication Principles with Application to DigitalSignaling，McGraw-HillInc.，1967年）中就已論述了。這已成為傳統(tǒng)而經(jīng)典的表示方法和習(xí)慣，被普遍采用。此外，還明確地給出了《數(shù)字通信（第四版）》已有的復(fù)互相關(guān)系數(shù)定義式?！　?.9節(jié)的改寫方法主要參照《數(shù)字通信（第四版）》中的4.1.4節(jié)（帶通平穩(wěn)隨機(jī)過程的表示法）。這主要基于以下的考慮：該節(jié)主要論述窄帶高斯噪聲的數(shù)學(xué)表示和統(tǒng)計(jì)特性，這在國內(nèi)許多本科通信原理教材和課程中都有詳細(xì)的論述，并與《數(shù)字通信（第四版）》論述一致，是一種傳統(tǒng)的經(jīng)典論述方式。因此采用《數(shù)字通信（第四版）》的論述和表示方法對(duì)國內(nèi)大多數(shù)讀者比較熟悉也容易接受和掌握?！　”緯窃凇稊?shù)字通信（第五版）》（張力軍、張宗橙、宋榮芳、曹士坷等譯）的基礎(chǔ)上進(jìn)行的，參與本書改編工作的還有張宗橙、宋榮方、曹士柯、曹軒宇、張曉輝、楊文、張海江、張杰、馬平、周國平、孟云飛、周克琴。完全版的內(nèi)容精簡(jiǎn)后，再進(jìn)行整合，對(duì)章節(jié)、公式、圖表等編號(hào)進(jìn)行必要的調(diào)整，最終完成的精簡(jiǎn)版整體架構(gòu)仍保持與完全版一致，共有11章，其中數(shù)字傳輸理論基礎(chǔ)內(nèi)容約占70%，無線通信基礎(chǔ)內(nèi)容約占30%?！　”緯ㄖ?、英文精簡(jiǎn)版）由電子工業(yè)出版社和麥格勞-希爾（亞洲）教育出版公司委托 張力軍負(fù)責(zé)內(nèi)容精選和改編，兩家出版社為本書的出版和提高出版質(zhì)量做出了很大的努力，在此表示誠摯的謝意。限于編繹者的專業(yè)水平和教學(xué)經(jīng)驗(yàn)，精簡(jiǎn)版難免有疏漏和不當(dāng)之處，敬請(qǐng)讀者不吝指正?！　埩姟　∮谀暇┼]電大學(xué)

內(nèi)容概要

　　本書是在《數(shù)字通信（第五版）》的基礎(chǔ)上，根據(jù)國內(nèi)的實(shí)際教學(xué)情況進(jìn)行精簡(jiǎn)和改編的。主要的精簡(jiǎn)原則為：保留信號(hào)傳輸理論內(nèi)容，舍去信息傳輸理論內(nèi)容，并以傳統(tǒng)而經(jīng)典的數(shù)字傳輸理論為主，無線通信為輔。改編的部分主要是根據(jù)國內(nèi)實(shí)際教學(xué)的常用習(xí)慣來進(jìn)行的。精簡(jiǎn)后的內(nèi)容主要涵蓋：確定與隨機(jī)信號(hào)分析；數(shù)字調(diào)制方法；AWGN信道的最佳接收機(jī)；載波和符號(hào)同步；通過帶限信道的數(shù)字通信；自適應(yīng)均衡；多信道和多載波系統(tǒng)；數(shù)字通信用擴(kuò)頻信號(hào)；衰落信道：信道特征與信號(hào)傳輸；多天線系統(tǒng)。

書籍目錄

Chapter 1
Introduction
　1.1 Elements of a Digital Communication
System
　1.2 Communication Channels and Their
Characteristics
　1.3 Mathematical Models for Communication
Channels
　1.4 A Historical Perspective in the Development of
　Digital
ommunications
Chapter 2 Deterministic and Random Signal
Analysis
　2.1 Representation of Bandpass Signals and
Systems
　2.1–1 Representation of Bandpass Signals/ 2.1–2 Response of a
Bandpass System to a Bandpass Signal
　2.2 Signal Space Representation of
Waveforms
　2.2–1 Vector Space Concepts / 2.2–2 Signal Space Concepts / 2.2–3
Orthogonal Expansions of Signals /2.2–4 Gram-Schmidt
Procedure
　2.3 Some Useful Random
Variables
　2.4 Random
Processes
　2.4–1 Wide-Sense Stationary Random Processes /2.4–2
Cyclostationary Random Processes
　2.5 Series Expansion of Random
Processes
　2.5–1 Sampling Theorem for Band-Limited RandomProcesses /2.5–2 The
Karhunen-Lo`eve Expansion
　2.6 Bandpass Stationary Stochastic
Processes
　Problems
Chapter 3 Digital Modulation
Schemes
　3.1 Representation of Digitally Modulated
Signals
　3.2 Memoryless Modulation
Methods
　3.2–1 Pulse Amplitude Modulation (PAM) / 3.2–2 Phase Modulation /
3.2–3 Quadrature Amplitude Modulation /3.2–4 Multidimensional
Signaling
　3.3 Signaling Schemes with
Memory
　3.3–1 Continuous-Phase Frequency-Shift Keying(CPFSK) /
　3.3–2 Continuous-Phase Modulation (CPM)
　3.4 Power Spectrum of Digitally Modulated
Signals
　3.4–1 Power Spectral Density of a Digitally Modulated
Signalwith
　Memory / 3.4–2 Power Spectral Density of LinearlyModulated
　Signals / 3.4–3 Power Spectral Density ofDigitally Modulated
　Signals with Finite Memory / 3.4–4Power Spectral Density of
　Modulation Schemes with a MarkovStructure / 3.4–5 Power
　Spectral Densities of CPFSK and CPM Signals
　Problems
Chapter 4 Optimum Receivers for AWGN
Channels
　4.1 Waveform and Vector Channel
Models
　4.1–1 Optimal Detection for a General Vector Channel
　4.2 Waveform and Vector AWGN
Channels
　4.2–1 Optimal Detection for the Vector AWGN Channel /4.2–2
Implementation of the Optimal Receiver for AWGN Channels / 4.2–3 A
Union Bound on the Probability of Error of Maximum Likelihood
Detection
　4.3 Optimal Detection and Error Probability for Band-Limited
　Signaling
　4.3–1 Optimal Detection and Error Probability for ASK or
　PAM Signaling / 4.3–2 Optimal Detection and Error
Probability
　for PSK Signaling / 4.3–3 Optimal Detection and Error
Probability
　for QAM Signaling / 4.3–4 Demodulation and Detection
　4.4 Optimal Detection and Error Probability for
Power-Limited
　Signaling
　4.4–1 Optimal Detection and Error Probability for Orthogonal
　Signaling / 4.4–2 Optimal Detection and Error Probability
for
　Biorthogonal Signaling / 4.4–3 Optimal Detection and Error
　Probability for Simplex Signaling
　4.5 Optimal Detection in Presence of Uncertainty:
Noncoherent
　Detection
　4.5–1 Noncoherent Detection of Carrier Modulated Signals /4.5–2
Optimal Noncoherent Detection of FSK Modulated Signals / 4.5–3
Error Probability of Orthogonal Signaling with Noncoherent
Detection / 4.5–4 Probability of Error for Envelope Detection of
Correlated Binary Signals /4.5–5 Differential PSK (DPSK)
　4.6 A Comparison of Digital Signaling
Methods
　4.6–1 Bandwidth and Dimensionality
　4.7 Lattices and Constellations Based on
Lattices
　4.7–1 An Introduction to Lattices / 4.7–2 Signal Constellations
from Lattices
　4.8 Detection of Signaling Schemes with
Memory
　4.8–1 The Maximum Likelihood Sequence Detector
　4.9 Optimum Receiver for CPM
Signals
　4.9–1 Optimum Demodulation and Detection of CPM /4.9–2 Performance
of CPM Signals / 4.9–3 Suboptimum Demodulation and Detection of CPM
Signals
　Problems
Chapter 5 Carrier and Symbol
Synchronization
　5.1 Signal Parameter
Estimation
　5.1–1 The Likelihood Function / 5.1–2 Carrier Recovery and
　Symbol Synchronization in Signal Demodulation
　5.2 Carrier Phase
Estimation
　5.2–1 Maximum-Likelihood Carrier Phase Estimation /5.2–2 The
Phase-Locked Loop / 5.2–3 Effect of AdditiveNoise on the Phase
Estimate / 5.2–4 Decision-Directed Loops / 5.2–5
Non-Decision-Directed Loops
　5.3 Symbol Timing
Estimation
　5.3–1 Maximum-Likelihood Timing Estimation /5.3–2
Non-Decision-Directed Timing Estimation
　5.4 Joint Estimation of Carrier Phase and Symbol
Timing
　5.5 Performance Characteristics of ML
Estimators
　Problems
Chapter 6 Digital Communication Through Band-Limited
Channels
　6.1 Characterization of Band-Limited
Channels
　6.2 Signal Design for Band-Limited
Channels
　6.2–1 Design of Band-Limited Signals for No Intersymbol
　Interference—The Nyquist Criterion / 6.2–2 Design of Band-Limited
Signals with Controlled ISI—Partial-Response Signals / 6.2–3 Data
Detection for Controlled ISI /6.2–4 Signal Design for Channels with
Distortion
　6.3 Optimum Receiver for Channels with ISI and
AWGN
　6.3–1 Optimum Maximum-Likelihood Receiver /6.3–2 A Discrete-Time
Model for a Channel with ISI /6.3–3 Maximum-Likelihood Sequence
Estimation (MLSE)
　for the Discrete-Time White Noise Filter Model
　6.4 Linear
Equalization
　6.4–1 Peak Distortion Criterion /6.4–2 Mean-Square-Error (MSE)
Criterion /
　6.4–3 Performance Characteristics of the MSE Equalizer /6.4–4
Fractionally Spaced Equalizers /6.4–5 Baseband and Passband Linear
Equalizers
　6.5 Decision-Feedback
Equalization
　6.5–1 Coefficient Optimization /6.5–2 Performance Characteristics
of DFE
　6.6 Reduced Complexity ML
Detectors
　Problems
Chapter 7 Adaptive
Equalization
　7.1 Adaptive Linear
Equalizer
　7.1–1 The Zero-Forcing Algorithm /7.1–2 The LMS Algorithm /7.1–3
Convergence Properties of the LMS Algorithm /7.1–4 Excess MSE due
to Noisy Gradient Estimates /7.1–5 Accelerating the Initial
Convergence Rate
　in the LMS Algorithm / 7.1–6 Adaptive Fractionally Spaced
Equalizer—The Tap Leakage Algorithm /7.1–7 An Adaptive Channel
Estimator for ML
　Sequence Detection
　7.2 Adaptive Decision-Feedback
Equalizer
　7.3 Recursive Least-Squares Algorithms for Adaptive
Equalization
　7.3–1 Recursive Least-Squares (Kalman) Algorithm /7.3–2 Linear
Prediction and the Lattice Filter
　Problems
Chapter 8 Multichannel and Multicarrier
Systems
　8.1 Multichannel Digital Communications in AWGN
Channels
　8.1–1 Binary Signals / 8.1–2 M-ary Orthogonal Signals
　8.2 Multicarrier
Communications
　8.2–1 Single-Carrier Versus Multicarrier Modulation /8.2–2
Capacity of a Nonideal Linear Filter Channel /8.2–3 Orthogonal
Frequency Division Multiplexing (OFDM) /8.2–4 Modulation and
Demodulation in an OFDM System /
　8.2–5 An FFT Algorithm Implementation of an OFDM System /8.2–6
Spectral Characteristics of Multicarrier Signals /8.2–7 Bit and
Power Allocation in Multicarrier Modulation /8.2–8 Peak-to-Average
Ratio in Multicarrier Modulation /8.2–9 Channel Coding
Considerations in Multicarrier Modulation
　Problems
Chapter 9 Spread Spectrum Signals for Digital
Communications
　9.1 Model of Spread Spectrum Digital Communication
System
　9.2 Direct Sequence Spread Spectrum
Signals
　9.2–1 Error Rate Performance of the Decoder /9.2–2 Some
Applications of DS Spread Spectrum Signals /9.2–3 Effect of Pulsed
Interference on DS Spread Spectrum Systems / 9.2–4 Excision of
Narrowband Interference in DS Spread Spectrum Systems / 9.2–5
Generation of PN Sequences
　9.3 Frequency-Hopped Spread Spectrum
Signals
　9.3–1 Performance of FH Spread Spectrum Signals in an
　AWGN Channel / 9.3–2 Performance of FH Spread Spectrum
　Signals in Partial-Band Interference / 9.3–3 A CDMA System
　Based on FH Spread Spectrum Signals
　9.4 Other Types of Spread Spectrum
Signals
　Problems
Chapter 10 Fading Channels : Characterization and
　Signaling
　10.1 Characterization of Fading Multipath
Channels
　10.1–1 Channel Correlation Functions and Power Spectra /
　10.1–2 Statistical Models for Fading Channels
　10.2 The Effect of Signal Characteristics on the Choice of a
Channel
Model
　10.3 Frequency-Nonselective, Slowly Fading
Channel
　10.4 Diversity Techniques for Fading Multipath
Channels
　10.4–1 Binary Signals / 10.4–2 Multiphase Signals /10.4–3 M-ary
Orthogonal Signals
　10.5 Signaling over a Frequency-Selective, Slowly Fading
Channel:
　The RAKE
emodulator
　10.5–1 A Tapped-Delay-Line Channel Model / 10.5–2 The RAKE
Demodulator / 10.5–3 Performance of RAKE Demodulator / 10.5–4
Receiver Structures for Channels with Intersymbol
Interference
　10.6 Multicarrier Modulation
(OFDM)
　10.6–1 Performance Degradation of an OFDM System due to Doppler
Spreading / 10.6–2 Suppression of ICI in OFDM Systems
　Problems
Chapter 11 Multiple-Antenna
Systems
　11.1 Channel Models for Multiple-Antenna
Systems
　11.1–1 Signal Transmission Through a Slow Fading
Frequency-Nonselective MIMO Channel / 11.1–2 Detection of Data
Symbols in a MIMO System / 11.1–3 Signal
　Transmission Through a Slow Fading Frequency-Selective MIMO
Channel
　11.2 Spread Spectrum Signals and Multicode
Transmission
　11.2–1 Orthogonal Spreading Sequences /11.2–2 Multiplexing Gain
Versus Diversity Gain /11.2–3 Multicode MIMO Systems
Problems

圖書封面

評(píng)論、評(píng)分、閱讀與下載

---

    數(shù)字通信 PDF格式下載

---