book

Simplified Robust Adaptive Detection and Beamforming for Wireless Communications

August 2018

Intermediate to advanced

424 pages

10h 22m

English

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1.1 Motivation1.2 Book Overview
2.1 Introduction2.2 DS‐CDMA Basic Formulation2.3 Performance Evaluation2.4 MIMO/OFDM System Model2.5 Adaptive Antenna Array2.5 Simulation SoftwareReferences
3.1 Introduction3.2 The Conventional Detector3.3 Multiuser Detection3.4 Simulation ResultsReferences
4.1 Introduction4.2 IQRD‐RLS Algorithm4.3 IQRD‐Based Receivers with Fixed Constraints4.4 IQRD‐based Receiver with Optimized Constraints4.5 Channel Estimation Techniques4.6 New Robust Detection Technique4.7 Systolic Array Implementation4.8 Simulation Results4.9 Complexity AnalysisAppendix 4.A Summary of Inverse QR Algorithm with Inverse UpdatingAppendix 4.B QR Decomposition AlgorithmsAppendix 4.C Subspace Tracking AlgorithmsReferences
5.1 Introduction5.2 Robust Receiver Design5.3 Geometric Approach5.4 Simulation Results5.5 Complexity AnalysisAppendix 5.A Robust Recursive Conjugate Gradient (RCG) AlgorithmReferences
6.1 Introduction6.2 Robust LCCMA Formulation6.3 Low‐complexity Recursive Implementation of LCCMA6.4 BSCMA Algorithm6.5 BSCMA with Quadratic Inequality Constraint6.6 Block Processing and Adaptive Implementation6.7 Simulation Results for Robust LCCMA6.8 Simulation Results for Robust BSCMA6.9 Complexity AnalysisReferences

7.1 Introduction7.2 Beamforming Formulation7.3 Robust Beamforming Design7.4 Cooperative Joint Constraint Robust Beamforming7.5 Robust Adaptive MVDR Beamformer with Single WC Constraint7.6 Robust LCMV Beamforming with MBWC Constraints7.7 Geometric Interpretation7.8 Simulation Results7.9 SummaryReferences
8.1 Introduction8.2 MBER Beamformer8.3 MBER Simulation Results8.4 MBER Spatial MUD in MIMO/OFDM Systems8.5 MBER Simulation Results8.6 SummaryReferences