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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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 |
work_keys_str_mv |
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