Minimum Variance Distortionless Response Beamformer with Enhanced Nulling Level Control via Dynamic Mutated Artificial Immune System

In smart antenna applications, the adaptive beamforming technique is used to cancel interfering signals (placing nulls) and produce or steer a strong beam toward the target signal according to the calculated weight vectors. Minimum variance distortionless response (MVDR) beamforming is capable of de...

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Main Authors: Tiong Sieh Kiong, S. Balasem Salem, Johnny Koh Siaw Paw, K. Prajindra Sankar, Soodabeh Darzi
Format: Article
Language:English
Published: Hindawi Limited 2014-01-01
Series:The Scientific World Journal
Online Access:http://dx.doi.org/10.1155/2014/164053
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spelling doaj-a231442601b24f009a38bcc46e3fbdde2020-11-24T22:09:35ZengHindawi LimitedThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/164053164053Minimum Variance Distortionless Response Beamformer with Enhanced Nulling Level Control via Dynamic Mutated Artificial Immune SystemTiong Sieh Kiong0S. Balasem Salem1Johnny Koh Siaw Paw2K. Prajindra Sankar3Soodabeh Darzi4Power Engineering Center, College of Engineering, Universiti Tenaga Nasional, Kajang, Selangor, MalaysiaCenter of System and Machine Intelligence, College of Engineering, Universiti Tenaga Nasional, Kajang, Selangor, MalaysiaCenter of System and Machine Intelligence, College of Engineering, Universiti Tenaga Nasional, Kajang, Selangor, MalaysiaCenter of System and Machine Intelligence, College of Engineering, Universiti Tenaga Nasional, Kajang, Selangor, MalaysiaDepartment of Electrical, Electronic & Systems Engineering, Universiti Kebangsaan Malaysia, Bangi, Selangor, MalaysiaIn smart antenna applications, the adaptive beamforming technique is used to cancel interfering signals (placing nulls) and produce or steer a strong beam toward the target signal according to the calculated weight vectors. Minimum variance distortionless response (MVDR) beamforming is capable of determining the weight vectors for beam steering; however, its nulling level on the interference sources remains unsatisfactory. Beamforming can be considered as an optimization problem, such that optimal weight vector should be obtained through computation. Hence, in this paper, a new dynamic mutated artificial immune system (DM-AIS) is proposed to enhance MVDR beamforming for controlling the null steering of interference and increase the signal to interference noise ratio (SINR) for wanted signals.http://dx.doi.org/10.1155/2014/164053
collection DOAJ
language English
format Article
sources DOAJ
author Tiong Sieh Kiong
S. Balasem Salem
Johnny Koh Siaw Paw
K. Prajindra Sankar
Soodabeh Darzi
spellingShingle Tiong Sieh Kiong
S. Balasem Salem
Johnny Koh Siaw Paw
K. Prajindra Sankar
Soodabeh Darzi
Minimum Variance Distortionless Response Beamformer with Enhanced Nulling Level Control via Dynamic Mutated Artificial Immune System
The Scientific World Journal
author_facet Tiong Sieh Kiong
S. Balasem Salem
Johnny Koh Siaw Paw
K. Prajindra Sankar
Soodabeh Darzi
author_sort Tiong Sieh Kiong
title Minimum Variance Distortionless Response Beamformer with Enhanced Nulling Level Control via Dynamic Mutated Artificial Immune System
title_short Minimum Variance Distortionless Response Beamformer with Enhanced Nulling Level Control via Dynamic Mutated Artificial Immune System
title_full Minimum Variance Distortionless Response Beamformer with Enhanced Nulling Level Control via Dynamic Mutated Artificial Immune System
title_fullStr Minimum Variance Distortionless Response Beamformer with Enhanced Nulling Level Control via Dynamic Mutated Artificial Immune System
title_full_unstemmed Minimum Variance Distortionless Response Beamformer with Enhanced Nulling Level Control via Dynamic Mutated Artificial Immune System
title_sort minimum variance distortionless response beamformer with enhanced nulling level control via dynamic mutated artificial immune system
publisher Hindawi Limited
series The Scientific World Journal
issn 2356-6140
1537-744X
publishDate 2014-01-01
description In smart antenna applications, the adaptive beamforming technique is used to cancel interfering signals (placing nulls) and produce or steer a strong beam toward the target signal according to the calculated weight vectors. Minimum variance distortionless response (MVDR) beamforming is capable of determining the weight vectors for beam steering; however, its nulling level on the interference sources remains unsatisfactory. Beamforming can be considered as an optimization problem, such that optimal weight vector should be obtained through computation. Hence, in this paper, a new dynamic mutated artificial immune system (DM-AIS) is proposed to enhance MVDR beamforming for controlling the null steering of interference and increase the signal to interference noise ratio (SINR) for wanted signals.
url http://dx.doi.org/10.1155/2014/164053
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