Simplified robust adaptive detection and beamforming for wireless communications

✍ Scribed by ElNashar, Ayman

• Publisher: John Wiley & Sons
• Year: 2018
• Tongue: English
• Leaves: 398
• Edition: First edition.
• Category: Library

✦ Synopsis

This book presents an alternative and simplified approaches for the robust adaptive detection and beamforming in wireless communications. It adopts several systems models including DS/CDMA, OFDM/MIMO with antenna array, and general antenna arrays beamforming model. It presents and analyzes recently developed detection and beamforming algorithms with an emphasis on robustness. In addition, simplified and efficient robust adaptive detection and beamforming techniques are presented and compared with exiting techniques. Practical examples based on the above systems models are provided to exemplify the developed detectors and beamforming algorithms. Moreover, the developed techniques are implemented using MATLAB-and the relevant MATLAB scripts are provided to help the readers to develop and analyze the presented algorithms. Simplified Robust Adaptive Detection and Beamforming for Wireless Communications starts by introducing readers to adaptive signal processing and robust adaptive detection. It then goes on to cover Wireless Systems Models. The robust adaptive detectors and beamformers are implemented using the well-known algorithms including LMS, RLS, IQRD-RLS, RSD, BSCMA, CG, and SD. The robust detection and beamforming are derived based on the existing detectors/beamformers including Moe, PLIC, LCCMA, LCMV, MVDR, BSCMA, and MBER. The adopted cost functions include MSE, BER, CM, MV, and SINR/SNR.  Read more...

✦ Table of Contents

Table of Contents......Page 2
Dedication......Page 14
About the Author......Page 15
About the Companion Website......Page 16
1.1 Motivation......Page 17
1.2 Book Overview......Page 20
2.1 Introduction......Page 25
2.2 DS‐CDMA Basic Formulation......Page 35
2.3 Performance Evaluation......Page 49
2.4 MIMO/OFDM System Model......Page 52
2.5 Adaptive Antenna Array......Page 74
2.5 Simulation Software......Page 81
References......Page 82
3.2 The Conventional Detector......Page 87
3.3 Multiuser Detection......Page 88
3.4 Simulation Results......Page 103
References......Page 113
4.1 Introduction......Page 120
4.2 IQRD‐RLS Algorithm......Page 122
4.3 IQRD‐Based Receivers with Fixed Constraints......Page 123
4.4 IQRD‐based Receiver with Optimized Constraints......Page 126
4.5 Channel Estimation Techniques......Page 130
4.6 New Robust Detection Technique......Page 135
4.7 Systolic Array Implementation......Page 139
4.8 Simulation Results......Page 146
4.9 Complexity Analysis......Page 155
Appendix 4.A Summary of Inverse QR Algorithm with Inverse Updating......Page 158
Appendix 4.B QR Decomposition Algorithms......Page 160
Appendix 4.C Subspace Tracking Algorithms......Page 163
References......Page 166
5.1 Introduction......Page 173
5.2 Robust Receiver Design......Page 177
5.3 Geometric Approach......Page 190
5.4 Simulation Results......Page 193
5.5 Complexity Analysis......Page 205
Appendix 5.A Robust Recursive Conjugate Gradient (RCG) Algorithm......Page 207
References......Page 209
6.1 Introduction......Page 216
6.2 Robust LCCMA Formulation......Page 220
6.3 Low‐complexity Recursive Implementation of LCCMA......Page 223
6.4 BSCMA Algorithm......Page 225
6.5 BSCMA with Quadratic Inequality Constraint......Page 228
6.6 Block Processing and Adaptive Implementation......Page 230
6.7 Simulation Results for Robust LCCMA......Page 232
6.8 Simulation Results for Robust BSCMA......Page 235
6.9 Complexity Analysis......Page 238
References......Page 242
7.1 Introduction......Page 249
7.2 Beamforming Formulation......Page 259
7.3 Robust Beamforming Design......Page 263
7.4 Cooperative Joint Constraint Robust Beamforming......Page 272
7.5 Robust Adaptive MVDR Beamformer with Single WC Constraint......Page 275
7.6 Robust LCMV Beamforming with MBWC Constraints......Page 283
7.7 Geometric Interpretation......Page 285
7.8 Simulation Results......Page 287
7.9 Summary......Page 309
References......Page 310
8.1 Introduction......Page 320
8.2 MBER Beamformer......Page 322
8.3 MBER Simulation Results......Page 333
8.4 MBER Spatial MUD in MIMO/OFDM Systems......Page 349
8.5 MBER Simulation Results......Page 357
8.6 Summary......Page 364
References......Page 365
Index......Page 370
End User License Agreement......Page 397

✦ Subjects

Adaptive signal processing;Beamforming;Wireless communication systems;TECHNOLOGY & ENGINEERING -- Mechanical