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　　分類: 图书,英语与其他外语,英语读物,英文版,科普,
　　品牌: 麦德豪(Upamanyu Madhow)

基本信息·出版社：人民邮电出版社

·页码：499 页

·出版日期：2010年04月

·ISBN：9787115223005

·条形码：9787115223005

·版本：第1版

·装帧：平装

·开本：16

·正文语种：英语

·丛书名：图灵原版电子与电气工程系列

·外文书名：Fundamentals of Digital Communication

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内容简介本书阐述了现代数字通信系统设计的基本知识，主要内容有：信号和噪声的复基带表述，调制和调解，分散信道通信，用信息理论计算性能基准点，现代解码方法基础知识，无线通信简介。书中实例丰富，每章还配有练习题，帮助读者深刻理解重要通信原理。 本书是通信专业高年级本科生和研究生教材，也可供工程技术人员参考。

目录

目录 1Introduction1 1.1Components of a digital communication system2 1.2Text outline5 1.3Further reading6 2Modulation7 2.1Preliminaries8 2.2Complex baseband representation18 2.3Spectral description of random processes31 2.3.1Complex envelope for passband random processes40 2.4Modulation degrees of freedom41 2.5Linear modulation43 2.5.1Examples of linear modulation44 2.5.2Spectral occupancy of linearly modulated signals46 2.5.3The Nyquist criterion: relating bandwidth to symbol rate49 2.5.4Linear modulation as a building block54 2.6Orthogonal and biorthogonal modulation55 2.7Differential modulation57 2.8Further reading60 2.9Problems60 2.9.1Signals and systems60 2.9.2Complex baseband representation62 2.9.3Random processes64 2.9.4Modulation66 3Demodulation74 3.1Gaussian basics75 3.2Hypothesis testing basics88 3.3Signal space concepts94 3.4Optimal reception in AWGN102 3.4.1Geometry of the ML decision rule106 3.4.2Soft decisions107 3.5Performance analysis of ML reception109 3.5.1Performance with binary signaling110 3.5.2Performance with M-ary signaling114 3.6Bit-level demodulation127 3.6.1Bit-level soft decisions131 3.7Elements of link budget analysis133 3.8Further reading136 3.9Problems136 3.9.1Gaussian basics136 3.9.2Hypothesis testing basics138 3.9.3Receiver design and performance analysis for the AWGN channel140 3.9.4Link budget analysis149 3.9.5Some mathematical derivations150 4Synchronization and noncoherent communication153 4.1Receiver design requirements155 4.2Parameter estimation basics159 4.2.1Likelihood function of a signal in AWGN162 4.3Parameter estimation for synchronization165 4.4Noncoherent communication170 4.4.1Composite hypothesis testing171 4.4.2Optimal noncoherent demodulation172 4.4.3Differential modulation and demodulation173 4.5Performance of noncoherent communication175 4.5.1Proper complex Gaussianity176 4.5.2Performance of binary noncoherent communication181 4.5.3Performance of M-ary noncoherent orthogonal signaling185 4.5.4Performance of DPSK187 4.5.5Block noncoherent demodulation188 4.6Further reading189 4.7Problems190 5Channel equalization199 5.1The channel model200 5.2Receiver front end201 5.3Eye diagrams203 5.4Maximum likelihood sequence estimation204 5.4.1Alternative MLSE formulation212 5.5Geometric model for suboptimal equalizer design213 5.6Linear equalization216 5.6.1Adaptive implementations223 5.6.2Performance analysis226 5.7Decision feedback equalization228 5.7.1Performance analysis230 5.8Performance analysis of MLSE231 5.8.1Union bound232 5.8.2Transfer function bound237 5.9Numerical comparison of equalization techniques240 5.10Further reading242 5.11Problems243 5.11.1MLSE243 6Information-theoretic limits and their computation252 6.1Capacity of AWGN channel: modeling andgeometry253 6.1.1From continuous to discrete time256 6.1.2Capacity of the discrete-time AWGN channel257 6.1.3From discrete to continuous time259 6.1.4Summarizing the discrete-time AWGN model261 6.2Shannon theory basics263 6.2.1Entropy, mutual information, and divergence265 6.2.2The channel coding theorem270 6.3Some capacity computations272 6.3.1Capacity for standard constellations272 6.3.2Parallel Gaussian channels and waterfilling277 6.4Optimizing the input distribution280 6.4.1Convex optimization281 6.4.2Characterizing optimal input distributions282 6.4.3Computing optimal input distributions284 6.5Further reading287 6.6Problems287 7Channel coding293 7.1Binary convolutional codes294 7.1.1Nonrecursive nonsystematic encoding295 7.1.2Recursive systematic encoding297 7.1.3Maximum likelihood decoding298 7.1.4Performance analysis of ML decoding303 7.1.5Performance analysis for quantized observations309 7.2Turbo codes and iterative decoding311 7.2.1The BCJR algorithm: soft-in, soft-out decoding311 7.2.2Logarithmic BCJR algorithm320 7.2.3Turbo constructions from convolutional codes325 7.2.4The BER performance of turbo codes328 7.2.5Extrinsic information transfer charts329 7.2.6Turbo weight enumeration336 7.3Low density parity check codes342 7.3.1Some terminology from coding theory343 7.3.2Regular LDPC codes345 7.3.3Irregular LDPC codes347 7.3.4Message passing and density evolution349 7.3.5Belief propagation352 7.3.6Gaussian approximation354 7.4Bandwidth-efficient coded modulation357 7.4.1Bit interleaved coded modulation358 7.4.2Trellis coded modulation360 7.5Algebraic codes364 7.6Further reading367 7.7Problems369 8Wireless communication379 8.1Channel modeling380 8.2Fading and diversity387 8.2.1The problem with Rayleigh fading387 8.2.2Diversity through coding and interleaving390 8.2.3Receive diversity393 8.3Orthogonal frequency division multiplexing397 8.4Direct sequence spread spectrum406 8.4.1The rake receiver409 8.4.2Choice of spreading sequences413 8.4.3Performance of conventional reception in CDMA systems415 8.4.4Multiuser detection for DS-CDMA systems417 8.5Frequency hop spread spectrum426 8.6Continuous phase modulation428 8.6.1Gaussian MSK432 8.6.2Receiver design and Laurent's expansion433 8.7Space–time communication439 8.7.1Space–time channel modeling440 8.7.2Information-theoretic limits443 8.7.3Spatial multiplexing447 8.7.4Space–time coding448 8.7.5Transmit beamforming451 8.8Further reading451 8.9Problems453 Appendix AProbability, random variables, and random processes474 A.1Basic probability474 A.2Random variables475 A.3Random processes478 A.3.1Wide sense stationary random processes through LTI systems478 A.3.2Discrete-time random processes479 A.4Further reading481 Appendix BThe Chernoff bound482 Appendix CJensen's inequality485 References488 Index495

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