Multiuser DetectionMultiuser Detection provides the first comprehensive treatment of the subject of multiuser digital communications. Multiuser detection deals with demodulation of the mutually interfering digital streams of information that occur in areas such as wireless communications, high-speed data transmission, satellite communication, digital television, and magnetic recording. The development of multiuser detection techniques is one of the most important recent advances in communications technology, and this self-contained book gives a comprehensive coverage of the design and analysis of receivers for multiaccess channels, while focusing on fundamental models and algorithms. The author begins with a review of multiaccess communications, dealing in particular with code division multiple access (CDMA) channels. Background material on hypothesis testing and the effect of multiuser interference on single-user receivers are discussed next. This is followed by the design and analysis of optimum and linear multiuser detectors. Also covered in detail are topics such as decision-driven multiuser detection and noncoherent multiuser detection. The elements of multiuser detection are clearly and systematically presented along with more advanced recent results, some of which are published here for the first time. The extensive set of references and bibliographical notes offer a comprehensive account of the state of the art in the subject. The only prerequisites assumed are undergraduate-level probability, linear algebra, and introductory digital communications. The book contains over 300 exercises and is a suitable textbook for practicing engineers, as well as a valuable reference volume for researchers in communications and signal processing. |
Contents
1 | 4 |
CONTENTS | 15 |
2 | 66 |
SINGLEUSER MATCHED FILTER | 85 |
CONTENTS | 176 |
19 | 218 |
DECORRELATING DETECTOR | 234 |
NONDECORRELATING LINEAR MULTIUSER | 288 |
DECISIONDRIVEN MULTIUSER DETECTORS | 344 |
395 | |
431 | |
437 | |
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Common terms and phrases
A₁ Aazhang achieved adaptive algorithm analysis Assume asymptotic efficiency asymptotic multiuser efficiency b₁ b₂ background noise binary CDMA systems chip waveforms components compute Conf Consider converges covariance matrix crosscorrelation matrix decision regions decision-feedback detector decorrelating detector demodulation denoted desired user detection direct-sequence spread-spectrum distribution DS-CDMA energy equal equiprobable error vectors Figure function IEEE IEEE Trans independent Information Theory interfering intersymbol interference jointly optimum kth user linear multiuser detector linear transformation lower bound matched filter outputs maximum-likelihood mean-square minimizes minimum bit-error-rate MMSE detector modulation multipath multiple-access multiuser detector noncoherent number of users observations obtain optimal optimum detector optimum multiuser optimum near-far resistance orthogonal probability of error PROBLEM Proc Proposition Q-function random variable Rayleigh fading received amplitudes s₁ Section Show signal-to-noise ratio signature waveforms single-user matched filter spread-spectrum successive cancellation sufficient statistic synchronous channel TDMA upper bound Varanasi variance Verdú y₁
Popular passages
Page 399 - Equalizers for Multiple Input/Multiple Output Channels and PAM Systems with Cyclostationary Input Sequences," IEEE Journal on Selected Areas in Communications, vol.
Page 397 - RM Buehrer, A. Kaul, S. Striglis and BD Woerner. "Analysis of DS-CDMA Parallel Interference Cancellation with Phase and Timing Errors", IEEE Journal on Selected Areas in Communications, vol.