Simplified Robust Adaptive Detection and Beamforming for Wireless Communications

Simplified Robust Adaptive Detection and Beamforming for Wireless Communications
Author :
Publisher : John Wiley & Sons
Total Pages : 424
Release :
ISBN-10 : 9781118938249
ISBN-13 : 1118938240
Rating : 4/5 (240 Downloads)

Book Synopsis Simplified Robust Adaptive Detection and Beamforming for Wireless Communications by : Ayman ElNashar

Download or read book Simplified Robust Adaptive Detection and Beamforming for Wireless Communications written by Ayman ElNashar and published by John Wiley & Sons. This book was released on 2018-08-20 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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. em style="mso-bidi-font-style: normal;"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.


Simplified Robust Adaptive Detection and Beamforming for Wireless Communications Related Books

Simplified Robust Adaptive Detection and Beamforming for Wireless Communications
Language: en
Pages: 424
Authors: Ayman ElNashar
Categories: Technology & Engineering
Type: BOOK - Published: 2018-08-20 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

This book presents an alternative and simplified approaches for the robust adaptive detection and beamforming in wireless communications. It adopts several syst
Practical Guide to LTE-A, VoLTE and IoT
Language: en
Pages: 753
Authors: Ayman ElNashar
Categories: Technology & Engineering
Type: BOOK - Published: 2018-06-19 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

Essential reference providing best practice of LTE-A, VoLTE, and IoT Design/deployment/Performance and evolution towards 5G This book is a practical guide to th
Robust Adaptive Beamforming
Language: en
Pages: 422
Authors: Jian Li
Categories: Technology & Engineering
Type: BOOK - Published: 2005-10-10 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

The latest research and developments in robust adaptivebeamforming Recent work has made great strides toward devising robust adaptivebeamformers that vastly imp
Handbook on Advancements in Smart Antenna Technologies for Wireless Networks
Language: en
Pages: 583
Authors: Sun, Chen
Categories: Education
Type: BOOK - Published: 2008-07-31 - Publisher: IGI Global

DOWNLOAD EBOOK

Provides information on smart antenna technologies featuring contributions with in-depth descriptions of terminologies, concepts, methods, and applications rela
Narrowband Direction of Arrival Estimation for Antenna Arrays
Language: en
Pages: 83
Authors: Jeffrey Foutz
Categories: Adaptive antennas
Type: BOOK - Published: 2008 - Publisher: Morgan & Claypool Publishers

DOWNLOAD EBOOK

This book provides an introduction to narrowband array signal processing, classical and subspace-based direction of arrival (DOA) estimation with an extensive d