Giorgio Vitetta, Desmond P. Taylor, Fabrizio Pancaldi

Wireless Communications

Algorithmic Techniques
Herausgegeben von Martin, Philippa

• Gebundenes Buch

Produktbeschreibung

This book introduces the theoretical elements at the basis of various classes of algorithms commonly employed in the physical layer (and, in part, in MAC layer) of wireless communications systems. It focuses on single user systems, so ignoring multiple access techniques. Moreover, emphasis is put on single-input single-output (SISO) systems, although some relevant topics about multiple-input multiple-output (MIMO) systems are also illustrated.
Comprehensive wireless specific guide to algorithmic techniques
Provides a detailed analysis of channel equalization and channel coding for wireless applications
Unique conceptual approach focusing in single user systems
Covers algebraic decoding, modulation techniques, channel coding and channel equalisation

Produktdetails

• Verlag: Wiley & Sons
• 1. Auflage
• Seitenzahl: 744
• Erscheinungstermin: 28. Mai 2013
• Englisch
• Abmessung: 244mm x 170mm x 25mm
• Gewicht: 794g
• ISBN-13: 9780470512395
• ISBN-10: 0470512393
• Artikelnr.: 28776726

Autorenporträt

Giorgio M. Vitetta is a Full Professor of Telecommunications at the Department of Information Engineering of the University of Modena and Reggio Emilia. He received the Dr. Ing. Degree in Electronic Engineering (cum Laude) in 1990 and the Ph. D. degree in 1994, both from the University of Pisa, Italy. Desmond Taylor is the Tait Professor of Communications at the University of Canterbury. He gained his PhD in Electrical Engineering from McMaster University in Canada. He specializes in Digital Communication Systems. He is the director of journals for the IEEE Communications Society. Philippa Martin is a lecturer in Electrical Engineering at the University of Canterbury. Her research interests include coded modulation, error correction coding and decoding, reduced complexity decoding algorithms, iterative processing, space-time coding, detection and decoding, and combined equalization and decoding. Fabrizio Pancaldi received his Dr. Ing. Degree in Electronic Engineering (cum laude) and a Ph. D. degree in 2006, both from the University of Modena and Reggio Emilia, Italy. He is currently a Research Fellow and lectures in Telecommunication Networks.

Inhaltsangabe

Preface xi List of Acronyms xiii 1 Introduction 1 1.1 Structure of a
Digital Communication System 3 1.2 Plan of the Book 7 1.3 Further Reading 8
Part I MODULATION AND DETECTION 2 Wireless Channels 11 2.1 Introduction 11
2.2 Mathematical Description of SISO Wireless Channels 16 2.3 Mathematical
Description and Modeling of MIMO Wireless Channels 44 2.4 Historical Notes
57 2.5 Further Reading 64 3 Digital Modulation Techniques 65 3.1
Introduction 65 3.2 General Structure of a Digital Modulator 65 3.3
Representation of Digital Modulated Waveforms on an Orthonormal Basis 68
3.4 Bandwidth of Digital Modulations 70 3.5 Passband PAM 74 3.6 Continuous
Phase Modulation 86 3.7 OFDM 116 3.8 Lattice-Based Multidimensional
Modulations 137 3.9 Spectral Properties of a Digital Modulation at the
Output of a Wireless Channel 146 3.10 Historical Notes 149 3.11 Further
Reading 154 4 Detection of Digital Signals over Wireless Channels: Decision
Rules 155 4.1 Introduction 155 4.2 Wireless Digital Communication Systems:
Modeling, Receiver Architecture and Discretization of the Received Signal
156 4.3 Optimum Detection in a Vector Communication System 159 4.4
Mathematical Models for the Receiver Vector 168 4.5 Decision Strategies in
the Presence of Channel Parameters: Optimal Metrics and Performance Bounds
188 4.6 Expectation-Maximization Techniques for Data Detection 207 4.7
Historical Notes 214 4.8 Further Reading 216 5 Data-Aided Algorithms for
Channel Estimation 217 5.1 Channel Estimation Techniques 218 5.2
Cram¿er-Rao Bounds for Data-Aided Channel Estimation 228 5.3 Data-Aided CIR
Estimation Algorithms in PATs 235 5.4 Extensions to MIMO Channels 244 5.5
Historical Notes 245 5.6 Further Reading 247 6 Detection of Digital Signals
over Wireless Channels: Channel Equalization Algorithms 249 6.1
Introduction 249 6.2 Channel Equalization of Single-Carrier Modulations:
Known CIR 250 6.3 Channel Equalization of Multicarrier Modulations: Known
CIR 286 6.4 Channel Equalization of Single Carrier Modulations:
Statistically Known CIR 292 6.5 Channel Equalization of Multicarrier
Modulations: Statistically Known CIR 301 6.6 Joint Channel and Data
Estimation: Single-Carrier Modulations 302 6.7 Joint Channel and Data
Estimation: Multicarrier Modulations 307 6.8 Extensions to the MIMO Systems
311 6.9 Historical Notes 315 6.10 Further Reading 319 Part II INFORMATION
THEORY AND CODING SCHEMES 7 Elements of Information Theory 323 7.1
Introduction 323 7.2 Capacity for Discrete Sources and Channels 323 7.3
Capacity of MIMO Fading Channels 330 7.4 Historical Notes 337 7.5 Further
Reading 338 8 An Introduction to Channel Coding Techniques 339 8.1 Basic
Principles 339 8.2 Interleaving 341 8.3 Taxonomy of Channel Codes 343 8.4
Taxonomy of Coded Modulations 344 8.5 Organization of the Following
Chapters 346 8.6 Historical Notes 346 8.7 Further Reading 347 9 Classical
Coding Schemes 349 9.1 Block Codes 349 9.2 Convolutional Codes 390 9.3
Classical Concatenated Coding 432 9.4 Historical Notes 435 9.5 Further
Reading 439 10 Modern Coding Schemes 441 10.1 Introduction 441 10.2
Concatenated Convolutional Codes 442 10.3 Concatenated Block Codes 445 10.4
Other Modern Concatenated Coding Schemes 446 10.5 Iterative Decoding
Techniques for Concatenated Codes 448 10.6 Low-Density Parity Check Codes
468 10.7 Decoding Techniques for LDPC Codes 478 10.8 Codes on Graphs 494
10.9 Historical Notes 501 10.10 Further Reading 503 11 Signal Space Codes
505 11.1 Introduction 505 11.2 Trellis Coding with Expanded Signal Sets 505
11.3 Bit-Interleaved Coded Modulation 520 11.4 Modulation Codes Based on
Multilevel Coding 524 11.5 Space-Time Coding 531 11.6 Historical Notes 565
11.7 Further Reading 566 12 Combined Equalization and Decoding 567 12.1
Introduction 567 12.2 Noniterative Techniques 568 12.3 Algorithms for
Combined Equalization and Decoding 571 12.4 Extension to MIMO 586 12.5
Historical Notes 588 12.6 Further Reading 590 Appendix A Fourier Transforms
591 Appendix B Power Spectral Density of Random Processes 593 B.1 Power
Spectral Density of a Wide-Sense Stationary Random Process 593 B.2 Power
Spectral Density of a Wide-Sense Cyclostationary Random Process 594 B.3
Power Spectral Density of a Bandpass Random Process 595 Appendix C Matrix
Theory 597 Appendix D Signal Spaces 601 D.1 Representation of Deterministic
Signals 601 D.2 Representation of Random Signals via Orthonormal Bases 606
Appendix E Groups, Finite Fields and Vector Spaces 609 E.1 Groups 609 E.2
Fields 611 E.3 Vector Spaces 622 Appendix F Error Function and Related
Functions 625 References 629 Index 713