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Multiuser Detection [Mīkstie vāki]

(Princeton University, New Jersey)
  • Formāts: Paperback / softback, 474 pages, height x width x depth: 254x178x24 mm, weight: 820 g, Worked examples or Exercises
  • Izdošanas datums: 21-Jul-2011
  • Izdevniecība: Cambridge University Press
  • ISBN-10: 0521203953
  • ISBN-13: 9780521203951
  • Mīkstie vāki
  • Cena: 70,32 €
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  • Formāts: Paperback / softback, 474 pages, height x width x depth: 254x178x24 mm, weight: 820 g, Worked examples or Exercises
  • Izdošanas datums: 21-Jul-2011
  • Izdevniecība: Cambridge University Press
  • ISBN-10: 0521203953
  • ISBN-13: 9780521203951
The development of multiuser detection techniques is one of the most important recent advances in communications technology. This self-contained and comprehensive book sets out the basic details of multiuser detection, starting with simple examples and progressing to state-of-the-art applications. The only prerequisites assumed are undergraduate-level probability, linear algebra, and digital communications. The book contains over 240 exercises and will be a suitable textbook for electrical engineering students. It will also be an ideal self-study guide for practicing engineers, as well as a valuable reference volume for researchers in communications, information theory, and signal processing.

Multiuser 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.

Recenzijas

Review of the hardback: 'The topic of multiuser detection lies at the heart of modern terrestrial and satellite-based wireless communication systems. In this book one has on offer a clear and comprehensive exposition by the pioneering researcher in the field. This timely and fundamental book will be welcomed by every communication engineer.' Venkat Anantharam University of California, Berkeley

Papildus informācija

Originally published in 1998, Multiuser Detection provides a comprehensive treatment of the subject of multiuser digital communications.
List of Figures
xi
Preface xix
1 Multiaccess Communications
1(18)
1.1 The Multiaccess Channel
1(1)
1.2 FDMA and TDMA
2(2)
1.3 Random Multiaccess
4(1)
1.4 CDMA
4(6)
1.5 Problems
10(9)
2 Code-Division Multiple-Access Channel
19(66)
2.1 Basic Synchronous CDMA Model
19(2)
2.2 Basic Asynchronous CDMA Model
21(5)
2.3 Signature Waveforms
26(11)
2.3.1 Direct-Sequence Spread Spectrum
26(2)
2.3.2 Spreading Factor
28(1)
2.3.3 Signature Sequences
29(1)
2.3.4 Long Sequences
30(2)
2.3.5 Random Sequences
32(3)
2.3.6 Other Spread-Spectrum Formats
35(2)
2.4 Data Streams
37(1)
2.5 Modulation
38(4)
2.5.1 Carrier Modulation
38(2)
2.5.2 Nonantipodal Modulation
40(2)
2.6 Fading
42(9)
2.6.1 Frequency-Flat Fading
42(3)
2.6.2 Frequency-Selective Fading
45(5)
2.6.3 Homogeneous Fading
50(1)
2.7 Antenna Arrays
51(4)
2.8 Background Noise
55(1)
2.9 Discrete-Time Synchronous Models
56(6)
2.9.1 Matched Filter Outputs
56(4)
2.9.2 Orthonormal Projections
60(2)
2.10 Discrete-Time Asynchronous Models
62(2)
2.11 Bibliographical Notes
64(2)
2.12 Problems
66(19)
3 Single-User Matched Filter
85(69)
3.1 Hypothesis Testing
85(8)
3.1.1 Optimal Decisions
85(3)
3.1.2 Continuous-Time Signals in White Gaussian Noise
88(3)
3.1.3 Composite Hypothesis Testing
91(2)
3.2 Optimal Receiver for the Single-User Channel
93(4)
3.3 The Q-Function
97(7)
3.4 The Matched Filter in the CDMA Channel
104(15)
3.4.1 Probability of Error for Synchronous Users
105(13)
3.4.2 Probability of Error for Asynchronous Users
118(1)
3.5 Asymptotic Multiuser Efficiency and Related Measures
119(5)
3.6 Coherent Single-User Matched Filter in Rayleigh Fading
124(6)
3.6.1 Scalar Reception
125(3)
3.6.2 Diversity Reception
128(2)
3.7 Differentially-Coherent Demodulation
130(3)
3.8 Noncoherent Demodulation
133(4)
3.9 Bibliographical Notes
137(2)
3.10 Problems
139(15)
4 Optimum Multiuser Detection
154(80)
4.1 Optimum Detector for Synchronous Channels
154(12)
4.1.1 Two-User Synchronous Channel
155(6)
4.1.2 K-User Channel
161(5)
4.2 Optimum Detector for Asynchronous Channels
166(10)
4.3 Minimum Error Probability in the Synchronous Channel
176(19)
4.3.1 Two-User Channel
176(10)
4.3.2 K-User Synchronous Channel
186(9)
4.4 K-User Optimum Asymptotic Efficiency and Near-Far Resistance
195(7)
4.5 Minimum Error Probability in the Asynchronous Channel
202(4)
4.6 Performance Analysis in Rayleigh Fading
206(3)
4.7 Optimum Noncoherent Multiuser Detection
209(1)
4.8 Bibliographical Notes
210(3)
4.9 Problems
213(21)
5 Decorrelating Detector
234(54)
5.1 The Decorrelating Detector in the Synchronous Channel
234(9)
5.2 The Decorrelating Detector in the Asynchronous Channel
243(3)
5.3 Truncated-Window Decorrelating Detector
246(2)
5.4 Approximate Decorrelator
248(1)
5.5 Performance Analysis: Synchronous Case
249(7)
5.6 Performance Analysis: Asynchronous Case
256(2)
5.7 Coherent Decorrelator in the Presence of Fading
258(5)
5.7.1 Frequency-Flat Fading
259(1)
5.7.2 Homogeneous Fading
260(1)
5.7.3 Diversity Reception
261(2)
5.8 Differentially-Coherent Decorrelation
263(2)
5.9 Decorrelation for Nonlinear Modulation
265(4)
5.10 Bibliographical Notes
269(3)
5.11 Problems
272(16)
6 Nondecorrelating Linear Multiuser Detection
288(56)
6.1 Optimum Linear Multiuser Detection
288(3)
6.2 Minimum Mean-Square Error (MMSE) Linear Multiuser Detection
291(8)
6.3 Performance of MMSE Linear Multiuser Detection
299(7)
6.4 Adaptive MMSE Linear Multiuser Detection
306(8)
6.5 Canonical Representation of Linear Multiuser Detectors
314(4)
6.6 Blind MMSE Multiuser Detection
318(7)
6.6.1 Gradient Descent Algorithm
318(3)
6.6.2 Signature Waveform Mismatch
321(4)
6.7 Bibliographical Notes
325(4)
6.8 Problems
329(15)
7 Decision-Driven Multiuser Detectors
344(51)
7.1 Successive Cancellation
344(7)
7.2 Performance Analysis of Successive Cancellation
351(10)
7.3 Multistage Detection
361(8)
7.3.1 Conventional First Stage
361(2)
7.3.2 Decorrelating First Stage
363(6)
7.4 Continuous-Time Tentative Decisions
369(1)
7.5 Decision-Feedback Multiuser Detection
370(14)
7.5.1 Synchronous Decorrelating Decision-Feedback
371(6)
7.5.2 Synchronous MMSE Decision-Feedback
377(5)
7.5.3 Asynchronous Decision-Feedback
382(2)
7.6 Bibliographical Notes
384(3)
7.7 Problems
387(8)
Bibliography 395(36)
Author Index 431(6)
Subject Index 437