Robust Adaptive Beamforming via Modified Variable Loading with Subsampling Preprocessing

For robust adaptive beamforming (RAB), the variable loading (VL) technique can provide a better trade-off between robustness and adaptivity than diagonal loading (DL). Despite its importance, few research efforts have explored the loading factor for VL to ensure robustness in various environments. M...

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Main Authors: Xiangwei Chen, Weixing Sheng
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:International Journal of Antennas and Propagation
Online Access:http://dx.doi.org/10.1155/2022/2561711
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author Xiangwei Chen
Weixing Sheng
author_facet Xiangwei Chen
Weixing Sheng
author_sort Xiangwei Chen
collection DOAJ
description For robust adaptive beamforming (RAB), the variable loading (VL) technique can provide a better trade-off between robustness and adaptivity than diagonal loading (DL). Despite its importance, few research efforts have explored the loading factor for VL to ensure robustness in various environments. Moreover, the performance of VL is restricted by the sample covariance matrix in snapshot deficiency situations. This paper proposes a modified variable loading (VL) method for robust adaptive beamforming, considering imprecise steering vector effects and finite sample size impairments. First, a novel subsampling method is used to construct the calibrated covariance matrix to improve the robustness of the VL in sample-starving scenarios. Then, a parameter-free method for the VL factor is proposed to further enhance the insensitivity to the steering vector mismatches of the antenna array. Simulation results verify the effectiveness and robustness of the proposed method as compared to the traditional VL and other widely used robust techniques.
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institution Kabale University
issn 1687-5877
language English
publishDate 2022-01-01
publisher Wiley
record_format Article
series International Journal of Antennas and Propagation
spelling doaj-art-d514e9e009014a8fa396bab7e1a03a252025-02-03T06:13:35ZengWileyInternational Journal of Antennas and Propagation1687-58772022-01-01202210.1155/2022/2561711Robust Adaptive Beamforming via Modified Variable Loading with Subsampling PreprocessingXiangwei Chen0Weixing Sheng1School of Electronic and Optical EngineeringSchool of Electronic and Optical EngineeringFor robust adaptive beamforming (RAB), the variable loading (VL) technique can provide a better trade-off between robustness and adaptivity than diagonal loading (DL). Despite its importance, few research efforts have explored the loading factor for VL to ensure robustness in various environments. Moreover, the performance of VL is restricted by the sample covariance matrix in snapshot deficiency situations. This paper proposes a modified variable loading (VL) method for robust adaptive beamforming, considering imprecise steering vector effects and finite sample size impairments. First, a novel subsampling method is used to construct the calibrated covariance matrix to improve the robustness of the VL in sample-starving scenarios. Then, a parameter-free method for the VL factor is proposed to further enhance the insensitivity to the steering vector mismatches of the antenna array. Simulation results verify the effectiveness and robustness of the proposed method as compared to the traditional VL and other widely used robust techniques.http://dx.doi.org/10.1155/2022/2561711
spellingShingle Xiangwei Chen
Weixing Sheng
Robust Adaptive Beamforming via Modified Variable Loading with Subsampling Preprocessing
International Journal of Antennas and Propagation
title Robust Adaptive Beamforming via Modified Variable Loading with Subsampling Preprocessing
title_full Robust Adaptive Beamforming via Modified Variable Loading with Subsampling Preprocessing
title_fullStr Robust Adaptive Beamforming via Modified Variable Loading with Subsampling Preprocessing
title_full_unstemmed Robust Adaptive Beamforming via Modified Variable Loading with Subsampling Preprocessing
title_short Robust Adaptive Beamforming via Modified Variable Loading with Subsampling Preprocessing
title_sort robust adaptive beamforming via modified variable loading with subsampling preprocessing
url http://dx.doi.org/10.1155/2022/2561711
work_keys_str_mv AT xiangweichen robustadaptivebeamformingviamodifiedvariableloadingwithsubsamplingpreprocessing
AT weixingsheng robustadaptivebeamformingviamodifiedvariableloadingwithsubsamplingpreprocessing