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

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dc.citedby5
dc.contributor.authorDarzi S.en_US
dc.contributor.authorTiong S.K.en_US
dc.contributor.authorIslam M.T.en_US
dc.contributor.authorIsmail M.en_US
dc.contributor.authorKibria S.en_US
dc.contributor.authorid55651612500en_US
dc.contributor.authorid15128307800en_US
dc.contributor.authorid55328836300en_US
dc.contributor.authorid7401908770en_US
dc.contributor.authorid55637259500en_US
dc.date.accessioned2023-05-29T05:59:55Z
dc.date.available2023-05-29T05:59:55Z
dc.date.issued2015
dc.descriptionBeamforming; 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)en_US
dc.description.abstractMinimum 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.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo7238210
dc.identifier.doi10.1109/ISTT.2014.7238210
dc.identifier.epage235
dc.identifier.scopus2-s2.0-84946594421
dc.identifier.spage230
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84946594421&doi=10.1109%2fISTT.2014.7238210&partnerID=40&md5=1e08fb747ef083c46bc77d9958018495
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/22264
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.sourceScopus
dc.sourcetitleISTT 2014 - 2014 IEEE 2nd International Symposium on Telecommunication Technologies
dc.titleOptimal null steering of minimum variance distortionless response adaptive beamforming using particle swarm optimization and gravitational search algorithmen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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