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Wireless communications : the future / William Webb.

By: Webb, William, 1967-.
Contributor(s): IEEE Xplore (Online Service) [distributor.] | Wiley [publisher.].
Material type: materialTypeLabelBookPublisher: Chichester, England ; John Wiley, c2007Distributor: [Piscataqay, New Jersey] : IEEE Xplore, [2013]Description: 1 PDF (xx, 253 pages) : illustrations.Content type: text Media type: electronic Carrier type: online resourceISBN: 9781118576618.Subject(s): Wireless communication systems | Wireless communication systems -- ForecastingGenre/Form: Electronic books.Additional physical formats: Print version:: No titleDDC classification: 621.384 Online resources: Abstract with links to resource Also available in print.
Contents:
-- 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 Input / Output 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 Input / Output 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 -- 4.4.3 Received Vector for CPM Signaling 181 -- 4.4.4 Received Vector for OFDM Signaling 184 -- 4.5 Decision Strategies in the Presence of Channel Parameters: Optimal Metrics and Performance Bounds 188 -- 4.5.1 Signal Model and Algorithm Classification 188 -- 4.5.2 Detection for Transmission over of a Known Channel 189 -- 4.5.3 Detection in the Presence of a Statistically Known Channel 198 -- 4.5.4 Detection in the Presence of an Unknown Channel 205 -- 4.6 Expectation / Maximization Techniques for Data Detection 207 -- 4.6.1 The EM Algorithm 207 -- 4.6.2 The Bayesian EM Algorithm 210 -- 4.6.3 Initialization and Convergence of EM-Type Algorithms 213 -- 4.6.4 Other EM Techniques 213 -- 4.7 Historical Notes 214 -- 4.8 Further Reading 216 -- 5 Data-Aided Algorithms for Channel Estimation 217 -- 5.1 Channel Estimation Techniques 218.
5.1.1 Introduction 218 -- 5.1.2 Feedforward Estimation 219 -- 5.1.3 Recursive Estimation 222 -- 5.1.4 The Principle of Per-Survivor Processing 227 -- 5.2 Cram'er / Rao Bounds for Data-Aided Channel Estimation 228 -- 5.3 Data-Aided CIR Estimation Algorithms in PATs 235 -- 5.3.1 PAT Modeling and Optimization 235 -- 5.3.2 A Signal Processing Perspective on PAT Techniques 238 -- 5.4 Extensions to MIMO Channels 244 -- 5.4.1 Channel Estimation in SC MIMO PATs 244 -- 5.4.2 Channel Estimation in MC MIMO PATs 245 -- 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 -- 6.2.1 Channel Equalization in the Time Domain 250 -- 6.2.2 Channel Equalization in the Frequency Domain 281 -- 6.3 Channel Equalization of Multicarrier Modulations: Known CIR 286 -- 6.3.1 Optimal Detection in the Absence of IBI and ICI 287 -- 6.3.2 ICI Cancelation Techniques for Time-Varying Channels 289 -- 6.3.3 Equalization Strategies for IBI Compensation 292 -- 6.4 Channel Equalization of Single Carrier Modulations: Statistically Known CIR 292 -- 6.4.1 MLSD 292 -- 6.4.2 Other Equalization Strategies with Frequency-Flat Fading 299 -- 6.5 Channel Equalization of Multicarrier Modulations: Statistically Known CIR 301 -- 6.6 Joint Channel and Data Estimation: Single-Carrier Modulations 302 -- 6.6.1 Adaptive MLSD 302 -- 6.6.2 PSP MLSD 303 -- 6.6.3 Adaptive MAPBD/MAPSD 305 -- 6.6.4 Equalization Strategies Employing Reference-Based Channel Estimators with Frequency-Flat Fading 306 -- 6.7 Joint Channel and Data Estimation: Multicarrier Modulations 307 -- 6.7.1 Pilot-Based Equalization Techniques 308 -- 6.7.2 Semiblind Equalization Techniques 310 -- 6.8 Extensions to the MIMO Systems 311 -- 6.8.1 Equalization Techniques for Single-Carrier MIMO Communications 311 -- 6.8.2 Equalization Techniques for MIMO-OFDM Communications 314 -- 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 -- 7.2.1 The Discrete Memoryless Channel 324 -- 7.2.2 The Continuous-Output Channel 325 -- 7.2.3 Channel Capacity 326 -- 7.3 Capacity of MIMO Fading Channels 330 -- 7.3.1 Frequency-Flat Fading Channel 330 -- 7.3.2 MIMO Channel Capacity 332 -- 7.3.3 Random Channel 335 -- 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 -- 9.1.1 Introduction 349 -- 9.1.2 Structure of Linear Codes over GF(q) 350 -- 9.1.3 Properties of Linear Block Codes 352 -- 9.1.4 Cyclic Codes 357 -- 9.1.5 Other Relevant Linear Block Codes 369 -- 9.1.6 Decoding Techniques for Block Codes 371 -- 9.1.7 Error Performance 388 -- 9.2 Convolutional Codes 390 -- 9.2.1 Introduction 390 -- 9.2.2 Properties of Convolutional Codes 394 -- 9.2.3 Maximum Likelihood Decoding of Convolutional Codes 408 -- 9.2.4 MAP Decoding of Convolutional Codes 413 -- 9.2.5 Sequential Decoding of Convolutional Codes 419 -- 9.2.6 Error Performance of ML Decoding of Convolutional Codes 422 -- 9.3 Classical Concatenated Coding 432 -- 9.3.1 Parallel Concatenation: Product Codes 432 -- 9.3.2 Serial Concatenation: Outer RS Code 434 -- 9.4 Historical Notes 435 -- 9.4.1 Algebraic Coding 435 -- 9.4.2 Probabilistic Coding 438 -- 9.5 Further Reading 439 -- 10 Modern Coding Schemes 441 -- 10.1 Introduction 441 -- 10.2 Concatenated Convolutional Codes 442 -- 10.2.1 Parallel Concatenated Coding Schemes 442 -- 10.2.2 Serially Concatenated Coding Schemes 444 -- 10.2.3 Hybrid Concatenated Coding Schemes 445 -- 10.3 Concatenated Block Codes 445.
10.4 Other Modern Concatenated Coding Schemes 446 -- 10.4.1 Repeat and Accumulate Codes 446 -- 10.4.2 Serial Concatenation of Coding Schemes and Differential Modulations 447 -- 10.5 Iterative Decoding Techniques for Concatenated Codes 448 -- 10.5.1 The Turbo Principle 448 -- 10.5.2 SiSo Decoding Algorithms 455 -- 10.5.3 Applications 459 -- 10.5.4 Performance Bounds 465 -- 10.6 Low-Density Parity Check Codes 468 -- 10.6.1 Definition and Classification 468 -- 10.6.2 Graphic Representation of LDPC Codes via Tanner Graphs 468 -- 10.6.3 Minimum Distance and Weight Spectrum 471 -- 10.6.4 LDPC Code Design Approaches 472 -- 10.6.5 Efficient Algorithms for LDPC Encoding 477 -- 10.7 Decoding Techniques for LDPC Codes 478 -- 10.7.1 Introduction to Decoding via Message Passing Algorithms 478 -- 10.7.2 SPA and MSA 481 -- 10.7.3 Technical Issues on LDPC Decoding via MP 489 -- 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 -- 11.2.1 Code Construction 506 -- 11.2.2 Decoding Algorithms 517 -- 11.2.3 Error Performance 518 -- 11.3 Bit-Interleaved Coded Modulation 520 -- 11.3.1 Code Construction 520 -- 11.3.2 Decoding Algorithms 521 -- 11.3.3 Error Performance 522 -- 11.4 Modulation Codes Based on Multilevel Coding 524 -- 11.4.1 Code Construction for AWGN Channels 524 -- 11.4.2 Multistage Decoder 528 -- 11.4.3 Error Performance 529 -- 11.4.4 Multilevel Codes for Rayleigh Flat Fading Channels 530 -- 11.5 Space-Time Coding 531 -- 11.5.1 ST Coding for Frequency-Flat Fading Channels 531 -- 11.5.2 ST Coding for Frequency-Selective Fading Channels 561 -- 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 -- 12.3.1 Introduction 571 -- 12.3.2 Turbo Equalization from a FG Perspective 575.
12.3.3 Reduced-Complexity Techniques for SiSo Equalization 580 -- 12.3.4 Turbo Equalization in the FD 583 -- 12.3.5 Turbo Equalization in the Presence of an Unknown Channel 585 -- 12.4 Extension to MIMO 586 -- 12.5 Historical Notes 588 -- 12.5.1 Reduced-Complexity SiSo Equalization 588 -- 12.5.2 Error Performance and Convergence Speed in Turbo Equalization 588 -- 12.5.3 SiSo Equalization Algorithms in the Frequency Domain 589 -- 12.5.4 Use of Precoding 589 -- 12.5.5 Turbo Equalization and Factor Graphs 589 -- 12.5.6 Turbo Equalization for MIMO Systems 589 -- 12.5.7 Related Techniques 590 -- 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.1.1 Basic Definitions 601 -- D.1.2 Representation of Deterministic Signals via Orthonormal Bases 602 -- 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.2.1 Axiomatic Definition of a Field and Finite Fields 611 -- E.2.2 Polynomials and Extension Fields 612 -- E.2.3 Other Definitions and Properties 616 -- E.2.4 Computation Techniques for Finite Fields 620 -- E.3 Vector Spaces 622 -- Appendix F Error Function and Related Functions 625 -- References 629 -- Index 713.
Summary: 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.
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Includes bibliographical references and index.

-- 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 Input / Output 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 Input / Output 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 -- 4.4.3 Received Vector for CPM Signaling 181 -- 4.4.4 Received Vector for OFDM Signaling 184 -- 4.5 Decision Strategies in the Presence of Channel Parameters: Optimal Metrics and Performance Bounds 188 -- 4.5.1 Signal Model and Algorithm Classification 188 -- 4.5.2 Detection for Transmission over of a Known Channel 189 -- 4.5.3 Detection in the Presence of a Statistically Known Channel 198 -- 4.5.4 Detection in the Presence of an Unknown Channel 205 -- 4.6 Expectation / Maximization Techniques for Data Detection 207 -- 4.6.1 The EM Algorithm 207 -- 4.6.2 The Bayesian EM Algorithm 210 -- 4.6.3 Initialization and Convergence of EM-Type Algorithms 213 -- 4.6.4 Other EM Techniques 213 -- 4.7 Historical Notes 214 -- 4.8 Further Reading 216 -- 5 Data-Aided Algorithms for Channel Estimation 217 -- 5.1 Channel Estimation Techniques 218.

5.1.1 Introduction 218 -- 5.1.2 Feedforward Estimation 219 -- 5.1.3 Recursive Estimation 222 -- 5.1.4 The Principle of Per-Survivor Processing 227 -- 5.2 Cram'er / Rao Bounds for Data-Aided Channel Estimation 228 -- 5.3 Data-Aided CIR Estimation Algorithms in PATs 235 -- 5.3.1 PAT Modeling and Optimization 235 -- 5.3.2 A Signal Processing Perspective on PAT Techniques 238 -- 5.4 Extensions to MIMO Channels 244 -- 5.4.1 Channel Estimation in SC MIMO PATs 244 -- 5.4.2 Channel Estimation in MC MIMO PATs 245 -- 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 -- 6.2.1 Channel Equalization in the Time Domain 250 -- 6.2.2 Channel Equalization in the Frequency Domain 281 -- 6.3 Channel Equalization of Multicarrier Modulations: Known CIR 286 -- 6.3.1 Optimal Detection in the Absence of IBI and ICI 287 -- 6.3.2 ICI Cancelation Techniques for Time-Varying Channels 289 -- 6.3.3 Equalization Strategies for IBI Compensation 292 -- 6.4 Channel Equalization of Single Carrier Modulations: Statistically Known CIR 292 -- 6.4.1 MLSD 292 -- 6.4.2 Other Equalization Strategies with Frequency-Flat Fading 299 -- 6.5 Channel Equalization of Multicarrier Modulations: Statistically Known CIR 301 -- 6.6 Joint Channel and Data Estimation: Single-Carrier Modulations 302 -- 6.6.1 Adaptive MLSD 302 -- 6.6.2 PSP MLSD 303 -- 6.6.3 Adaptive MAPBD/MAPSD 305 -- 6.6.4 Equalization Strategies Employing Reference-Based Channel Estimators with Frequency-Flat Fading 306 -- 6.7 Joint Channel and Data Estimation: Multicarrier Modulations 307 -- 6.7.1 Pilot-Based Equalization Techniques 308 -- 6.7.2 Semiblind Equalization Techniques 310 -- 6.8 Extensions to the MIMO Systems 311 -- 6.8.1 Equalization Techniques for Single-Carrier MIMO Communications 311 -- 6.8.2 Equalization Techniques for MIMO-OFDM Communications 314 -- 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 -- 7.2.1 The Discrete Memoryless Channel 324 -- 7.2.2 The Continuous-Output Channel 325 -- 7.2.3 Channel Capacity 326 -- 7.3 Capacity of MIMO Fading Channels 330 -- 7.3.1 Frequency-Flat Fading Channel 330 -- 7.3.2 MIMO Channel Capacity 332 -- 7.3.3 Random Channel 335 -- 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 -- 9.1.1 Introduction 349 -- 9.1.2 Structure of Linear Codes over GF(q) 350 -- 9.1.3 Properties of Linear Block Codes 352 -- 9.1.4 Cyclic Codes 357 -- 9.1.5 Other Relevant Linear Block Codes 369 -- 9.1.6 Decoding Techniques for Block Codes 371 -- 9.1.7 Error Performance 388 -- 9.2 Convolutional Codes 390 -- 9.2.1 Introduction 390 -- 9.2.2 Properties of Convolutional Codes 394 -- 9.2.3 Maximum Likelihood Decoding of Convolutional Codes 408 -- 9.2.4 MAP Decoding of Convolutional Codes 413 -- 9.2.5 Sequential Decoding of Convolutional Codes 419 -- 9.2.6 Error Performance of ML Decoding of Convolutional Codes 422 -- 9.3 Classical Concatenated Coding 432 -- 9.3.1 Parallel Concatenation: Product Codes 432 -- 9.3.2 Serial Concatenation: Outer RS Code 434 -- 9.4 Historical Notes 435 -- 9.4.1 Algebraic Coding 435 -- 9.4.2 Probabilistic Coding 438 -- 9.5 Further Reading 439 -- 10 Modern Coding Schemes 441 -- 10.1 Introduction 441 -- 10.2 Concatenated Convolutional Codes 442 -- 10.2.1 Parallel Concatenated Coding Schemes 442 -- 10.2.2 Serially Concatenated Coding Schemes 444 -- 10.2.3 Hybrid Concatenated Coding Schemes 445 -- 10.3 Concatenated Block Codes 445.

10.4 Other Modern Concatenated Coding Schemes 446 -- 10.4.1 Repeat and Accumulate Codes 446 -- 10.4.2 Serial Concatenation of Coding Schemes and Differential Modulations 447 -- 10.5 Iterative Decoding Techniques for Concatenated Codes 448 -- 10.5.1 The Turbo Principle 448 -- 10.5.2 SiSo Decoding Algorithms 455 -- 10.5.3 Applications 459 -- 10.5.4 Performance Bounds 465 -- 10.6 Low-Density Parity Check Codes 468 -- 10.6.1 Definition and Classification 468 -- 10.6.2 Graphic Representation of LDPC Codes via Tanner Graphs 468 -- 10.6.3 Minimum Distance and Weight Spectrum 471 -- 10.6.4 LDPC Code Design Approaches 472 -- 10.6.5 Efficient Algorithms for LDPC Encoding 477 -- 10.7 Decoding Techniques for LDPC Codes 478 -- 10.7.1 Introduction to Decoding via Message Passing Algorithms 478 -- 10.7.2 SPA and MSA 481 -- 10.7.3 Technical Issues on LDPC Decoding via MP 489 -- 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 -- 11.2.1 Code Construction 506 -- 11.2.2 Decoding Algorithms 517 -- 11.2.3 Error Performance 518 -- 11.3 Bit-Interleaved Coded Modulation 520 -- 11.3.1 Code Construction 520 -- 11.3.2 Decoding Algorithms 521 -- 11.3.3 Error Performance 522 -- 11.4 Modulation Codes Based on Multilevel Coding 524 -- 11.4.1 Code Construction for AWGN Channels 524 -- 11.4.2 Multistage Decoder 528 -- 11.4.3 Error Performance 529 -- 11.4.4 Multilevel Codes for Rayleigh Flat Fading Channels 530 -- 11.5 Space-Time Coding 531 -- 11.5.1 ST Coding for Frequency-Flat Fading Channels 531 -- 11.5.2 ST Coding for Frequency-Selective Fading Channels 561 -- 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 -- 12.3.1 Introduction 571 -- 12.3.2 Turbo Equalization from a FG Perspective 575.

12.3.3 Reduced-Complexity Techniques for SiSo Equalization 580 -- 12.3.4 Turbo Equalization in the FD 583 -- 12.3.5 Turbo Equalization in the Presence of an Unknown Channel 585 -- 12.4 Extension to MIMO 586 -- 12.5 Historical Notes 588 -- 12.5.1 Reduced-Complexity SiSo Equalization 588 -- 12.5.2 Error Performance and Convergence Speed in Turbo Equalization 588 -- 12.5.3 SiSo Equalization Algorithms in the Frequency Domain 589 -- 12.5.4 Use of Precoding 589 -- 12.5.5 Turbo Equalization and Factor Graphs 589 -- 12.5.6 Turbo Equalization for MIMO Systems 589 -- 12.5.7 Related Techniques 590 -- 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.1.1 Basic Definitions 601 -- D.1.2 Representation of Deterministic Signals via Orthonormal Bases 602 -- 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.2.1 Axiomatic Definition of a Field and Finite Fields 611 -- E.2.2 Polynomials and Extension Fields 612 -- E.2.3 Other Definitions and Properties 616 -- E.2.4 Computation Techniques for Finite Fields 620 -- E.3 Vector Spaces 622 -- Appendix F Error Function and Related Functions 625 -- References 629 -- Index 713.

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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.

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