Simplified Robust Adaptive Detection and Beamforming for Wireless Communications

Simplified Robust Adaptive Detection and Beamforming for Wireless Communications

by Ayman ElNashar
Released August 2018
Publisher(s): Wiley
ISBN: 9781118938249

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Book description

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.

Table of contents

  1. Cover
  2. Dedication
  3. About the Author
  4. About the Companion Website
  5. Chapter 1: Introduction
    1. 1.1 Motivation
    2. 1.2 Book Overview
  6. Chapter 2: Wireless System Models
    1. 2.1 Introduction
    2. 2.2 DS‐CDMA Basic Formulation
    3. 2.3 Performance Evaluation
    4. 2.4 MIMO/OFDM System Model
    5. 2.5 Adaptive Antenna Array
    6. 2.5 Simulation Software
    7. References
  7. Chapter 3: Adaptive Detection Algorithms
    1. 3.1 Introduction
    2. 3.2 The Conventional Detector
    3. 3.3 Multiuser Detection
    4. 3.4 Simulation Results
    5. References
  8. Chapter: 4 Robust RLS Adaptive Algorithms
    1. 4.1 Introduction
    2. 4.2 IQRD‐RLS Algorithm
    3. 4.3 IQRD‐Based Receivers with Fixed Constraints
    4. 4.4 IQRD‐based Receiver with Optimized Constraints
    5. 4.5 Channel Estimation Techniques
    6. 4.6 New Robust Detection Technique
    7. 4.7 Systolic Array Implementation
    8. 4.8 Simulation Results
    9. 4.9 Complexity Analysis
    10. Appendix 4.A Summary of Inverse QR Algorithm with Inverse Updating
    11. Appendix 4.B QR Decomposition Algorithms
    12. Appendix 4.C Subspace Tracking Algorithms
    13. References
  9. Chapter 5: Quadratically Constrained Simplified Robust Adaptive Detection
    1. 5.1 Introduction
    2. 5.2 Robust Receiver Design
    3. 5.3 Geometric Approach
    4. 5.4 Simulation Results
    5. 5.5 Complexity Analysis
    6. Appendix 5.A Robust Recursive Conjugate Gradient (RCG) Algorithm
    7. References
  10. Chapter 6: Robust Constant Modulus Algorithms
    1. 6.1 Introduction
    2. 6.2 Robust LCCMA Formulation
    3. 6.3 Low‐complexity Recursive Implementation of LCCMA
    4. 6.4 BSCMA Algorithm
    5. 6.5 BSCMA with Quadratic Inequality Constraint
    6. 6.6 Block Processing and Adaptive Implementation
    7. 6.7 Simulation Results for Robust LCCMA
    8. 6.8 Simulation Results for Robust BSCMA
    9. 6.9 Complexity Analysis
    10. References
  11. Chapter 7: Robust Adaptive Beamforming
    1. 7.1 Introduction
    2. 7.2 Beamforming Formulation
    3. 7.3 Robust Beamforming Design
    4. 7.4 Cooperative Joint Constraint Robust Beamforming
    5. 7.5 Robust Adaptive MVDR Beamformer with Single WC Constraint
    6. 7.6 Robust LCMV Beamforming with MBWC Constraints
    7. 7.7 Geometric Interpretation
    8. 7.8 Simulation Results
    9. 7.9 Summary
    10. References
  12. Chapter 8: Minimum BER Adaptive Detection and Beamforming
    1. 8.1 Introduction
    2. 8.2 MBER Beamformer
    3. 8.3 MBER Simulation Results
    4. 8.4 MBER Spatial MUD in MIMO/OFDM Systems
    5. 8.5 MBER Simulation Results
    6. 8.6 Summary
    7. References
  13. Index
  14. End User License Agreement

Product information

  • Title: Simplified Robust Adaptive Detection and Beamforming for Wireless Communications
  • Author(s): Ayman ElNashar
  • Release date: August 2018
  • Publisher(s): Wiley
  • ISBN: 9781118938249