MVDR Algorithm Based Linear Antenna Array Performance Assessment For Adaptive Beamforming Application

The performance of Minimum Variance Distortionless Response (MVDR) beamformer is sensitive to errors such as the steering vector errors, the finite snapshots, and unsatisfactory null-forming level. In this paper, a combination of MVDR with linear antenna arrays (LAAs) for two scanning angles process...

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Main Authors:	Shahab, Suhail Najm, Ayib Rosdi, Zainun, Ali, Hussein Ahmed, Hojabri, Mojgan, Nurul Hazlina, Noordin
Format:	Article
Language:	English
Published:	Taylor's University 2017
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/18212/ http://umpir.ump.edu.my/id/eprint/18212/ http://umpir.ump.edu.my/id/eprint/18212/1/MVDR%20Algorithm%20Based%20Linear%20Antenna%20Array%20Performance%20Assessment%20For%20Adaptive%20Beamforming%20Application.pdf

id	ump-18212
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spelling	ump-182122018-01-17T05:49:28Z http://umpir.ump.edu.my/id/eprint/18212/ MVDR Algorithm Based Linear Antenna Array Performance Assessment For Adaptive Beamforming Application Shahab, Suhail Najm Ayib Rosdi, Zainun Ali, Hussein Ahmed Hojabri, Mojgan Nurul Hazlina, Noordin TK Electrical engineering. Electronics Nuclear engineering The performance of Minimum Variance Distortionless Response (MVDR) beamformer is sensitive to errors such as the steering vector errors, the finite snapshots, and unsatisfactory null-forming level. In this paper, a combination of MVDR with linear antenna arrays (LAAs) for two scanning angles process in the azimuth and elevation are used to illustrate the MVDR performance against error which results in acquiring the desired signal and suppressing the interference and noise. The impact of various parameters, such as the number of elements in the array, space separation between array elements, the number of interference sources, noise power level, and the number of snapshots on the MVDR are investigated. The MVDR performance is evaluated with two important metrics: beampattern of two scanning angles and Signal to Interference plus Noise Ratio (SINR). The results found that the MVDR performance improves as the number of array elements increases. The beampattern relies on the number of elements and the separation between array elements. The best interelement spacing obtained is 0.5λ that avoids grating lobes and mutual coupling effects. Besides, the SINR strongly depends on the noise power label and a number of snapshots. When the noise power label increased, the MVDR performance degraded as well the null width increases in the elevation direction as well as more accurate resolution occurred when the number of snapshots increased. Finally, it is found the proposed method achieves SINR better than existing techniques. Taylor's University 2017 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/18212/1/MVDR%20Algorithm%20Based%20Linear%20Antenna%20Array%20Performance%20Assessment%20For%20Adaptive%20Beamforming%20Application.pdf Shahab, Suhail Najm and Ayib Rosdi, Zainun and Ali, Hussein Ahmed and Hojabri, Mojgan and Nurul Hazlina, Noordin (2017) MVDR Algorithm Based Linear Antenna Array Performance Assessment For Adaptive Beamforming Application. Journal of Engineering Science and Technology, 12 (5). pp. 1366-1385. ISSN 1823-4690 http://jestec.taylors.edu.my/Vol%2012%20issue%205%20May%202017/12_5_17.pdf
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Shahab, Suhail Najm Ayib Rosdi, Zainun Ali, Hussein Ahmed Hojabri, Mojgan Nurul Hazlina, Noordin MVDR Algorithm Based Linear Antenna Array Performance Assessment For Adaptive Beamforming Application
description	The performance of Minimum Variance Distortionless Response (MVDR) beamformer is sensitive to errors such as the steering vector errors, the finite snapshots, and unsatisfactory null-forming level. In this paper, a combination of MVDR with linear antenna arrays (LAAs) for two scanning angles process in the azimuth and elevation are used to illustrate the MVDR performance against error which results in acquiring the desired signal and suppressing the interference and noise. The impact of various parameters, such as the number of elements in the array, space separation between array elements, the number of interference sources, noise power level, and the number of snapshots on the MVDR are investigated. The MVDR performance is evaluated with two important metrics: beampattern of two scanning angles and Signal to Interference plus Noise Ratio (SINR). The results found that the MVDR performance improves as the number of array elements increases. The beampattern relies on the number of elements and the separation between array elements. The best interelement spacing obtained is 0.5λ that avoids grating lobes and mutual coupling effects. Besides, the SINR strongly depends on the noise power label and a number of snapshots. When the noise power label increased, the MVDR performance degraded as well the null width increases in the elevation direction as well as more accurate resolution occurred when the number of snapshots increased. Finally, it is found the proposed method achieves SINR better than existing techniques.
format	Article
author	Shahab, Suhail Najm Ayib Rosdi, Zainun Ali, Hussein Ahmed Hojabri, Mojgan Nurul Hazlina, Noordin
author_facet	Shahab, Suhail Najm Ayib Rosdi, Zainun Ali, Hussein Ahmed Hojabri, Mojgan Nurul Hazlina, Noordin
author_sort	Shahab, Suhail Najm
title	MVDR Algorithm Based Linear Antenna Array Performance Assessment For Adaptive Beamforming Application
title_short	MVDR Algorithm Based Linear Antenna Array Performance Assessment For Adaptive Beamforming Application
title_full	MVDR Algorithm Based Linear Antenna Array Performance Assessment For Adaptive Beamforming Application
title_fullStr	MVDR Algorithm Based Linear Antenna Array Performance Assessment For Adaptive Beamforming Application
title_full_unstemmed	MVDR Algorithm Based Linear Antenna Array Performance Assessment For Adaptive Beamforming Application
title_sort	mvdr algorithm based linear antenna array performance assessment for adaptive beamforming application
publisher	Taylor's University
publishDate	2017
url	http://umpir.ump.edu.my/id/eprint/18212/ http://umpir.ump.edu.my/id/eprint/18212/ http://umpir.ump.edu.my/id/eprint/18212/1/MVDR%20Algorithm%20Based%20Linear%20Antenna%20Array%20Performance%20Assessment%20For%20Adaptive%20Beamforming%20Application.pdf
first_indexed	2023-09-18T22:25:40Z
last_indexed	2023-09-18T22:25:40Z
_version_	1777415949721272320

MVDR Algorithm Based Linear Antenna Array Performance Assessment For Adaptive Beamforming Application

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