Evaluating the Impact of SNOIs on SINR and Beampattern of MVDR Adaptive Beamforming Algorithm

Minimum Variance Distortionless Response (MVDR) is basically a unity gain adaptive beamformer which is suffered from performance degradation due to the presence of interference and noise. Also, MVDR is sensitive to errors such as the steering vector errors, and the nulling level. MVDR combined with...

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Main Authors:	Shahab, Suhail Najm, Ayib Rosdi, Zainun, Izzeldin, I. Mohd, Alabdraba, Waleed M. Sh., Nurul Hazlina, Noordin
Format:	Article
Language:	English
Published:	Informatics Publishing Limited 2016
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/16866/ http://umpir.ump.edu.my/id/eprint/16866/ http://umpir.ump.edu.my/id/eprint/16866/ http://umpir.ump.edu.my/id/eprint/16866/7/fkee-2016-ayib-Evaluating%20the%20Impact%20of%20SNOIs.pdf

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recordtype	eprints
spelling	ump-168662018-04-12T07:08:10Z http://umpir.ump.edu.my/id/eprint/16866/ Evaluating the Impact of SNOIs on SINR and Beampattern of MVDR Adaptive Beamforming Algorithm Shahab, Suhail Najm Ayib Rosdi, Zainun Izzeldin, I. Mohd Alabdraba, Waleed M. Sh. Nurul Hazlina, Noordin TK Electrical engineering. Electronics Nuclear engineering Minimum Variance Distortionless Response (MVDR) is basically a unity gain adaptive beamformer which is suffered from performance degradation due to the presence of interference and noise. Also, MVDR is sensitive to errors such as the steering vector errors, and the nulling level. MVDR combined with a Linear Antenna Array (LAA) is used to acquire desired signals and suppress the interference and noise. This paper examines the impact of the number of interference sources and the mainlobe accuracy by using Signal to Interference plus Noise Ratio (SINR) and array beampattern as two different Figure-of-Merits to measure the performance of the MVDR beamformer with a fixed number of array elements (L). The findings of this study indicate that the MVDR successfully form a nulls to L-1 nonlook signal with average SINR of 49.31 dB. Also, the MVDR provides accurate mainlobe with a small change to the real user direction when the SNOIs are bigger than array elements. The proposed method was found to perform better than some existing techniques. Based on this analysis, the beampattern not heavily relies on the number of unwanted source. Moreover, the SINR strongly depends on the number of SNOIs and the nulling level. Informatics Publishing Limited 2016 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/16866/7/fkee-2016-ayib-Evaluating%20the%20Impact%20of%20SNOIs.pdf Shahab, Suhail Najm and Ayib Rosdi, Zainun and Izzeldin, I. Mohd and Alabdraba, Waleed M. Sh. and Nurul Hazlina, Noordin (2016) Evaluating the Impact of SNOIs on SINR and Beampattern of MVDR Adaptive Beamforming Algorithm. Indian Journal of Science and Technology, 9 (30). pp. 1-9. ISSN 0974-6846 (Print); 0974-5645 (Online) http://52.172.159.94/index.php/indjst/article/view/99275 DOI: 10.17485/ijst/2016/v9i30/99275
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 Izzeldin, I. Mohd Alabdraba, Waleed M. Sh. Nurul Hazlina, Noordin Evaluating the Impact of SNOIs on SINR and Beampattern of MVDR Adaptive Beamforming Algorithm
description	Minimum Variance Distortionless Response (MVDR) is basically a unity gain adaptive beamformer which is suffered from performance degradation due to the presence of interference and noise. Also, MVDR is sensitive to errors such as the steering vector errors, and the nulling level. MVDR combined with a Linear Antenna Array (LAA) is used to acquire desired signals and suppress the interference and noise. This paper examines the impact of the number of interference sources and the mainlobe accuracy by using Signal to Interference plus Noise Ratio (SINR) and array beampattern as two different Figure-of-Merits to measure the performance of the MVDR beamformer with a fixed number of array elements (L). The findings of this study indicate that the MVDR successfully form a nulls to L-1 nonlook signal with average SINR of 49.31 dB. Also, the MVDR provides accurate mainlobe with a small change to the real user direction when the SNOIs are bigger than array elements. The proposed method was found to perform better than some existing techniques. Based on this analysis, the beampattern not heavily relies on the number of unwanted source. Moreover, the SINR strongly depends on the number of SNOIs and the nulling level.
format	Article
author	Shahab, Suhail Najm Ayib Rosdi, Zainun Izzeldin, I. Mohd Alabdraba, Waleed M. Sh. Nurul Hazlina, Noordin
author_facet	Shahab, Suhail Najm Ayib Rosdi, Zainun Izzeldin, I. Mohd Alabdraba, Waleed M. Sh. Nurul Hazlina, Noordin
author_sort	Shahab, Suhail Najm
title	Evaluating the Impact of SNOIs on SINR and Beampattern of MVDR Adaptive Beamforming Algorithm
title_short	Evaluating the Impact of SNOIs on SINR and Beampattern of MVDR Adaptive Beamforming Algorithm
title_full	Evaluating the Impact of SNOIs on SINR and Beampattern of MVDR Adaptive Beamforming Algorithm
title_fullStr	Evaluating the Impact of SNOIs on SINR and Beampattern of MVDR Adaptive Beamforming Algorithm
title_full_unstemmed	Evaluating the Impact of SNOIs on SINR and Beampattern of MVDR Adaptive Beamforming Algorithm
title_sort	evaluating the impact of snois on sinr and beampattern of mvdr adaptive beamforming algorithm
publisher	Informatics Publishing Limited
publishDate	2016
url	http://umpir.ump.edu.my/id/eprint/16866/ http://umpir.ump.edu.my/id/eprint/16866/ http://umpir.ump.edu.my/id/eprint/16866/ http://umpir.ump.edu.my/id/eprint/16866/7/fkee-2016-ayib-Evaluating%20the%20Impact%20of%20SNOIs.pdf
first_indexed	2023-09-18T22:22:54Z
last_indexed	2023-09-18T22:22:54Z
_version_	1777415775375589376

Evaluating the Impact of SNOIs on SINR and Beampattern of MVDR Adaptive Beamforming Algorithm

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