Two‐dimensional adaptive beamforming for large planar array antennas based on weight matrix reconstruction

Abstract Adaptive beamformers at the element level usually require a great number of training samples and the computational cost for calculating the weight vector for large phased array antennas is very high, which make it difficult for real‐time applications. To address this problem, a two‐dimensio...

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Autores principales: Wei Gao, Xiaoming Li, Zheng Liu, Ziqiang Meng, Lei Ran
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Lenguaje:EN
Publicado: Wiley 2021
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Acceso en línea:https://doaj.org/article/b8cdc57bd07146ec97e6f9d13f00960b
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spelling oai:doaj.org-article:b8cdc57bd07146ec97e6f9d13f00960b2021-11-12T15:34:30ZTwo‐dimensional adaptive beamforming for large planar array antennas based on weight matrix reconstruction1751-87921751-878410.1049/rsn2.12151https://doaj.org/article/b8cdc57bd07146ec97e6f9d13f00960b2021-12-01T00:00:00Zhttps://doi.org/10.1049/rsn2.12151https://doaj.org/toc/1751-8784https://doaj.org/toc/1751-8792Abstract Adaptive beamformers at the element level usually require a great number of training samples and the computational cost for calculating the weight vector for large phased array antennas is very high, which make it difficult for real‐time applications. To address this problem, a two‐dimensional (2‐D) adaptive beamformer applicable to large planar array antennas that have low computational complexity and low training sample requirement is proposed. In the proposed method, the weight matrix is first reconstructed as a matrix that has the same or close columns and rows by utilising the special Kronecker property of the array steering matrix. Then, the weight vector is determined by adopting a bi‐quadratic cost function and a bi‐iterative algorithm. Experimental results show that the proposed method can achieve fairly good performance even when the training samples are small.Wei GaoXiaoming LiZheng LiuZiqiang MengLei RanWileyarticleTelecommunicationTK5101-6720ENIET Radar, Sonar & Navigation, Vol 15, Iss 12, Pp 1622-1627 (2021)
institution DOAJ
collection DOAJ
language EN
topic Telecommunication
TK5101-6720
spellingShingle Telecommunication
TK5101-6720
Wei Gao
Xiaoming Li
Zheng Liu
Ziqiang Meng
Lei Ran
Two‐dimensional adaptive beamforming for large planar array antennas based on weight matrix reconstruction
description Abstract Adaptive beamformers at the element level usually require a great number of training samples and the computational cost for calculating the weight vector for large phased array antennas is very high, which make it difficult for real‐time applications. To address this problem, a two‐dimensional (2‐D) adaptive beamformer applicable to large planar array antennas that have low computational complexity and low training sample requirement is proposed. In the proposed method, the weight matrix is first reconstructed as a matrix that has the same or close columns and rows by utilising the special Kronecker property of the array steering matrix. Then, the weight vector is determined by adopting a bi‐quadratic cost function and a bi‐iterative algorithm. Experimental results show that the proposed method can achieve fairly good performance even when the training samples are small.
format article
author Wei Gao
Xiaoming Li
Zheng Liu
Ziqiang Meng
Lei Ran
author_facet Wei Gao
Xiaoming Li
Zheng Liu
Ziqiang Meng
Lei Ran
author_sort Wei Gao
title Two‐dimensional adaptive beamforming for large planar array antennas based on weight matrix reconstruction
title_short Two‐dimensional adaptive beamforming for large planar array antennas based on weight matrix reconstruction
title_full Two‐dimensional adaptive beamforming for large planar array antennas based on weight matrix reconstruction
title_fullStr Two‐dimensional adaptive beamforming for large planar array antennas based on weight matrix reconstruction
title_full_unstemmed Two‐dimensional adaptive beamforming for large planar array antennas based on weight matrix reconstruction
title_sort two‐dimensional adaptive beamforming for large planar array antennas based on weight matrix reconstruction
publisher Wiley
publishDate 2021
url https://doaj.org/article/b8cdc57bd07146ec97e6f9d13f00960b
work_keys_str_mv AT weigao twodimensionaladaptivebeamformingforlargeplanararrayantennasbasedonweightmatrixreconstruction
AT xiaomingli twodimensionaladaptivebeamformingforlargeplanararrayantennasbasedonweightmatrixreconstruction
AT zhengliu twodimensionaladaptivebeamformingforlargeplanararrayantennasbasedonweightmatrixreconstruction
AT ziqiangmeng twodimensionaladaptivebeamformingforlargeplanararrayantennasbasedonweightmatrixreconstruction
AT leiran twodimensionaladaptivebeamformingforlargeplanararrayantennasbasedonweightmatrixreconstruction
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