Optimal null steering of minimum variance distortionless response adaptive beamforming using particle swarm optimization and gravitational search algorithm

Beamforming; Learning algorithms; Signal to noise ratio; Adaptive Beamforming; Adaptive beamforming techniques; Gravitational search algorithm (GSA); Gravitational search algorithms; Interfering sources; Minimum variance distortionless response; Optimization problems; Signal-to-interference and nois...

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Main Authors:	Darzi S., Tiong S.K., Islam M.T., Ismail M., Kibria S.
Other Authors:	55651612500
Format:	Conference Paper
Published:	Institute of Electrical and Electronics Engineers Inc. 2023
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Institution:	Universiti Tenaga Nasional

id	my.uniten.dspace-22264
record_format	dspace
spelling	my.uniten.dspace-222642023-05-29T13:59:55Z Optimal null steering of minimum variance distortionless response adaptive beamforming using particle swarm optimization and gravitational search algorithm Darzi S. Tiong S.K. Islam M.T. Ismail M. Kibria S. 55651612500 15128307800 55328836300 7401908770 55637259500 Beamforming; Learning algorithms; Signal to noise ratio; Adaptive Beamforming; Adaptive beamforming techniques; Gravitational search algorithm (GSA); Gravitational search algorithms; Interfering sources; Minimum variance distortionless response; Optimization problems; Signal-to-interference and noise ratios; Particle swarm optimization (PSO) Minimum Variance Distortionless Response (MVDR) adaptive beamforming technique commonly applies to cancel interfering sources and steer a strong beam towards the desired signal through its computed weight vectors. However, this method may have unsatisfactorily low nulling in various interference scenarios. Hence, adaptive beam pattern of MVDR can be considered as an optimization problem. The aim of this paper is to propose Particle Swarm Optimization (PSO) and Gravitational Search Algorithm (GSA) to assist MVDR in improving its performance and overcoming both interferences and multipath fading. The simulation results show that the proposed GSA-MVDR algorithm offers higher Signal to Interference and Noise Ratio (SINR) than PSO-MVDR and conventional MVDR in different scenario of interferences and array elements. It is an effective solution for decreasing the effect of interference and increasing the desired signal simultaneously. � 2014 IEEE. Final 2023-05-29T05:59:55Z 2023-05-29T05:59:55Z 2015 Conference Paper 10.1109/ISTT.2014.7238210 2-s2.0-84946594421 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84946594421&doi=10.1109%2fISTT.2014.7238210&partnerID=40&md5=1e08fb747ef083c46bc77d9958018495 https://irepository.uniten.edu.my/handle/123456789/22264 7238210 230 235 Institute of Electrical and Electronics Engineers Inc. Scopus
institution	Universiti Tenaga Nasional
building	UNITEN Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Tenaga Nasional
content_source	UNITEN Institutional Repository
url_provider	http://dspace.uniten.edu.my/
description	Beamforming; Learning algorithms; Signal to noise ratio; Adaptive Beamforming; Adaptive beamforming techniques; Gravitational search algorithm (GSA); Gravitational search algorithms; Interfering sources; Minimum variance distortionless response; Optimization problems; Signal-to-interference and noise ratios; Particle swarm optimization (PSO)
author2	55651612500
author_facet	55651612500 Darzi S. Tiong S.K. Islam M.T. Ismail M. Kibria S.
format	Conference Paper
author	Darzi S. Tiong S.K. Islam M.T. Ismail M. Kibria S.
spellingShingle	Darzi S. Tiong S.K. Islam M.T. Ismail M. Kibria S. Optimal null steering of minimum variance distortionless response adaptive beamforming using particle swarm optimization and gravitational search algorithm
author_sort	Darzi S.
title	Optimal null steering of minimum variance distortionless response adaptive beamforming using particle swarm optimization and gravitational search algorithm
title_short	Optimal null steering of minimum variance distortionless response adaptive beamforming using particle swarm optimization and gravitational search algorithm
title_full	Optimal null steering of minimum variance distortionless response adaptive beamforming using particle swarm optimization and gravitational search algorithm
title_fullStr	Optimal null steering of minimum variance distortionless response adaptive beamforming using particle swarm optimization and gravitational search algorithm
title_full_unstemmed	Optimal null steering of minimum variance distortionless response adaptive beamforming using particle swarm optimization and gravitational search algorithm
title_sort	optimal null steering of minimum variance distortionless response adaptive beamforming using particle swarm optimization and gravitational search algorithm
publisher	Institute of Electrical and Electronics Engineers Inc.
publishDate	2023
_version_	1806428027928707072

Optimal null steering of minimum variance distortionless response adaptive beamforming using particle swarm optimization and gravitational search algorithm

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