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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/16866/7/fkee-2016-ayib-Evaluating%20the%20Impact%20of%20SNOIs.pdf
http://umpir.ump.edu.my/id/eprint/16866/
http://52.172.159.94/index.php/indjst/article/view/99275
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spelling my.ump.umpir.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
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
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/16866/7/fkee-2016-ayib-Evaluating%20the%20Impact%20of%20SNOIs.pdf
http://umpir.ump.edu.my/id/eprint/16866/
http://52.172.159.94/index.php/indjst/article/view/99275
_version_ 1643668029808050176
score 13.211869

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