MVDR beamformer model for array response vector mismatch reduction

Beamforrming algorithms attempt to extract a desired User-OF-Interest (UOl) from the background noise and interfering signals. The performance of the beamforming algorithm is evaluated based on various QoS criteria such as beampattern accuracy and signal-to-lnterference-plus-Noise-Ratio (SINR). In t...

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Main Authors: Suhail Najm, Shahab, Ayib Rosdi, Zainun, Nurul Hazlina, Noordin, Izzeldin, I. Mohd, Essa Ibrahim, Essa, A. Omar, Khaldoon
Format: Book Section
Language:English
English
Published: CRC Press 2017
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/17571/
http://umpir.ump.edu.my/id/eprint/17571/
http://umpir.ump.edu.my/id/eprint/17571/
http://umpir.ump.edu.my/id/eprint/17571/1/16.%20MVDR%20beamformer%20model%20for%20array%20response%20vector%20mismatch%20reduction.pdf
http://umpir.ump.edu.my/id/eprint/17571/7/16.%20MVDR%20beamformer%20model%20for%20array%20response%20vector%20mismatch%20reduction.pdf
id ump-17571
recordtype eprints
spelling ump-175712018-04-12T07:07:21Z http://umpir.ump.edu.my/id/eprint/17571/ MVDR beamformer model for array response vector mismatch reduction Suhail Najm, Shahab Ayib Rosdi, Zainun Nurul Hazlina, Noordin Izzeldin, I. Mohd Essa Ibrahim, Essa A. Omar, Khaldoon TK Electrical engineering. Electronics Nuclear engineering Beamforrming algorithms attempt to extract a desired User-OF-Interest (UOl) from the background noise and interfering signals. The performance of the beamforming algorithm is evaluated based on various QoS criteria such as beampattern accuracy and signal-to-lnterference-plus-Noise-Ratio (SINR). In this paper, the null-forming constrain is added to the single linear constrain of Minimum Variance Distortionless Response (MVDR) to overcome the effect of finite snapshots problem and the array response vector imprecision. This constraint addition improves the null-forming at the User-Nol-Of InlereKi (UNOI) direction. This work presents a new approach for extract the accurate array response vec-tor. Numerical results show the robustness of the proposed approach to alleviating finite data snapshots effect- Moreover, this technique minimizes the sidelobe level, accurate beam shape lo the UOI direction and pattern null in the UNOIs directions, CRC Press 2017 Book Section PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/17571/1/16.%20MVDR%20beamformer%20model%20for%20array%20response%20vector%20mismatch%20reduction.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/17571/7/16.%20MVDR%20beamformer%20model%20for%20array%20response%20vector%20mismatch%20reduction.pdf Suhail Najm, Shahab and Ayib Rosdi, Zainun and Nurul Hazlina, Noordin and Izzeldin, I. Mohd and Essa Ibrahim, Essa and A. Omar, Khaldoon (2017) MVDR beamformer model for array response vector mismatch reduction. In: Communication, Management and Information Technology. CRC Press, Leiden, The Netherlands, pp. 131-138. ISBN 978-1-315-37508-3 (online); 9781138029729 (printed) https://books.google.com.my/books?id=CzQNDgAAQBAJ&pg=PA131&dq=MVDR+beamformer+model+for+array+response+vector+mismatch+reduction&hl=en&sa=X&ved=0ahUKEwju3JmjhbXTAhXIu48KHQgkBRIQ6AEIIzAA#v=onepage&q=MVDR%20beamformer%20model%20for%20array%20response%20vect DOI: 10.1201/9781315375083-20
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Suhail Najm, Shahab
Ayib Rosdi, Zainun
Nurul Hazlina, Noordin
Izzeldin, I. Mohd
Essa Ibrahim, Essa
A. Omar, Khaldoon
MVDR beamformer model for array response vector mismatch reduction
description Beamforrming algorithms attempt to extract a desired User-OF-Interest (UOl) from the background noise and interfering signals. The performance of the beamforming algorithm is evaluated based on various QoS criteria such as beampattern accuracy and signal-to-lnterference-plus-Noise-Ratio (SINR). In this paper, the null-forming constrain is added to the single linear constrain of Minimum Variance Distortionless Response (MVDR) to overcome the effect of finite snapshots problem and the array response vector imprecision. This constraint addition improves the null-forming at the User-Nol-Of InlereKi (UNOI) direction. This work presents a new approach for extract the accurate array response vec-tor. Numerical results show the robustness of the proposed approach to alleviating finite data snapshots effect- Moreover, this technique minimizes the sidelobe level, accurate beam shape lo the UOI direction and pattern null in the UNOIs directions,
format Book Section
author Suhail Najm, Shahab
Ayib Rosdi, Zainun
Nurul Hazlina, Noordin
Izzeldin, I. Mohd
Essa Ibrahim, Essa
A. Omar, Khaldoon
author_facet Suhail Najm, Shahab
Ayib Rosdi, Zainun
Nurul Hazlina, Noordin
Izzeldin, I. Mohd
Essa Ibrahim, Essa
A. Omar, Khaldoon
author_sort Suhail Najm, Shahab
title MVDR beamformer model for array response vector mismatch reduction
title_short MVDR beamformer model for array response vector mismatch reduction
title_full MVDR beamformer model for array response vector mismatch reduction
title_fullStr MVDR beamformer model for array response vector mismatch reduction
title_full_unstemmed MVDR beamformer model for array response vector mismatch reduction
title_sort mvdr beamformer model for array response vector mismatch reduction
publisher CRC Press
publishDate 2017
url http://umpir.ump.edu.my/id/eprint/17571/
http://umpir.ump.edu.my/id/eprint/17571/
http://umpir.ump.edu.my/id/eprint/17571/
http://umpir.ump.edu.my/id/eprint/17571/1/16.%20MVDR%20beamformer%20model%20for%20array%20response%20vector%20mismatch%20reduction.pdf
http://umpir.ump.edu.my/id/eprint/17571/7/16.%20MVDR%20beamformer%20model%20for%20array%20response%20vector%20mismatch%20reduction.pdf
first_indexed 2023-09-18T22:24:21Z
last_indexed 2023-09-18T22:24:21Z
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