Simplified robust adaptive detection and beamforming for wireless communications

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...

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Bibliographic Details
Main Author: ElNashar, Ayman
Format: eBook
Language:English
Published: Hoboken, NJ John Wiley & Sons 2018
Edition:First edition
Subjects:
Online Access:
Collection: O'Reilly - Collection details see MPG.ReNa
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245 0 0 |a Simplified robust adaptive detection and beamforming for wireless communications  |c by Ayman ElNashar 
250 |a First edition 
260 |a Hoboken, NJ  |b John Wiley & Sons  |c 2018 
300 |a 1 online resource 
505 0 |a Wireless systems models -- Adaptive detection algorithms -- Robust RLS adaptive algorithms -- Quadratically constrained robust detection -- Robust constant modulus algorithms -- Robust adaptive beamforming -- Minimum ber adaptive detection and beamforming 
505 0 |a Includes bibliographical references and index 
653 |a Traitement adaptatif du signal 
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653 |a Wireless communication systems / fast 
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653 |a Signals & Signal Processing / bisacsh/2022 
653 |a TECHNOLOGY & ENGINEERING. / bisacsh/2022 
653 |a Formation de faisceau 
653 |a Adaptive signal processing / fast 
653 |a Transmission sans fil 
653 |a Beamforming / fast 
653 |a Wireless communication systems / http://id.loc.gov/authorities/subjects/sh92006740 
653 |a Adaptive signal processing / http://id.loc.gov/authorities/subjects/sh85000805 
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520 |a 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.