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
Autorentext
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.
Klappentext
An advanced introduction to algorithmic techniques for wireless communications, blending basic principles with advanced concepts and techniques
This reference provides a high-level introduction to the study of algorithmic techniques employed in digital wireless communication systems over fading channels. Its main objective is to develop a theoretical framework that will enable the reader to develop solutions to detection, equalization, channel estimation, error correction coding and coded modulation problems in wireless communications.
This book discusses in detail deterministic and stochastic descriptions of wireless channels, single-carrier and multicarrier digital modulation techniques, optimal signal detection, channel estimation techniques, channel equalization algorithms, classical and modern channel coding schemes, coded modulation techniques, and iterative methods for channel equalization and decoding of channel codes.
Special features include:
- Important results previously scattered over a huge number of publications are now collected in a single volume
- A broad coverage of fundamental topics in wireless communications, taking into consideration both basic and advanced transmission techniques
- An historical perspective on various important research areas in the field of wireless communication techniques
- Highlights trends in various research areas in the field of wireless communications
Zusammenfassung
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
Inhalt
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
2.2.1 InputOutput Characterization of a SISO Wireless Channel 16
2.2.2 Statistical Characterization of a SISO Wireless Channel 23
2.2.3 Reduced-Complexity Statistical Models for SISO Channels 36
2.3 Mathematical Description and Modeling of MIMO Wireless Channels 44
2.3.1 InputOutput Characterization of a MIMO Wireless Channel 45
2.3.2 Statistical Characterization of a MIMO Wireless Channel 50
2.3.3 Reduced-Complexity Statistical Modeling of MIMO Channels 57
2.4 Historical Notes 57
2.4.1 Large-Scale Fading Models 58
2.4.2 Small-Scale Fading Models 60
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
3.5.1 Signal Model 74
3.5.2 Constellation Selection 76
3.5.3 Data Block Transmission with Passband PAM Signals for Frequency-Domain Equalization 79
3.5.4 Power Spectral Density of Linear Modulations 80
3.6 Continuous Phase Modulation 86
3.6.1 Signal Model 86
3.6.2 Full-Response CPM 89
3.6.3 Partial-Response CPM 93
3.6.4 Multi-h CPM 98
3.6.5 Alternative Representations of CPM Signals 100
3.6.6 Data Block Transmission with CPM Signals for Frequency-Domain Equalization 107
3.6.7 Power Spectral Density of Continuous Phase Modulations 110
3.7 OFDM 116
3.7.1 Introduction 116
3.7.2 OFDM Signal Model 122
3.7.3 Power Spectral Density of OFDM 131
3.7.4 The PAPR Problem in OFDM 135
3.8 Lattice-Based Multidimensional Modulations 137
3.8.1 Lattices: Basic Definitions and Properties 137
3.8.2 Elementary Constructions of Lattices 144
3.9 Spectral Properties of a Digital Modulation at the Output of a Wireless Channel 146
3.10 Historical Notes 149
3.10.1 Passband PAM Signaling 149
3.10.2 CPM Signaling 151
3.10.3 MCM Signaling 152
3.10.4 Power Spectral Density of Digital Modulations 153
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
4.2.1 General Model of a Wireless Communication System 156
4.2.2 Receiver Architectures 157
4.3 Optimum Detection in a Vector Communication System 159
4.3.1 Description of a Vector Communication System 159
4.3.2 Detection Strategies and Error Probabilities 159
4.3.3 MAP and ML Detection Strategies 162
4.3.4 Diversity Reception and Some Useful Theorems about Data Detection 167
4.4 Mathematical Models for the Receiver Vector 168
4.4.1 Extraction of a Set of Sufficient Statistics from the Received Signal 169
4.4.2 Received Vector for PAM Signaling 177
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