Robust Adaptive Beamforming for Uniform Linear Arrays With Sensor Gain and Phase Uncertainties

A robust adaptive beamforming method is proposed in this paper for uniform linear arrays with respect to sensor gain and phase uncertainties. The sensor gain and phase parameters are obtained by solving a series of linear equations that describe the specific structure of the array covariance matrix...

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Main Authors:	Long Yang, Yixin Yang, Jie Yang
Format:	Article
Language:	English
Published:	IEEE 2019-01-01
Series:	IEEE Access
Subjects:	Covariance matrix reconstruction robust adaptive beamforming sensor gain and phase calibration non-uniform noise environment
Online Access:	https://ieeexplore.ieee.org/document/8573781/

id	doaj-014b76837e0c4eadb4b96b6aa3893a00
record_format	Article
spelling	doaj-014b76837e0c4eadb4b96b6aa3893a002021-03-29T22:05:47ZengIEEEIEEE Access2169-35362019-01-0172677268510.1109/ACCESS.2018.28864058573781Robust Adaptive Beamforming for Uniform Linear Arrays With Sensor Gain and Phase UncertaintiesLong Yang0https://orcid.org/0000-0003-0057-7355Yixin Yang1Jie Yang2School of Marine Science and Technology, Northwestern Polytechnical University, Xi’an, ChinaSchool of Marine Science and Technology, Northwestern Polytechnical University, Xi’an, ChinaSchool of Marine Science and Technology, Northwestern Polytechnical University, Xi’an, ChinaA robust adaptive beamforming method is proposed in this paper for uniform linear arrays with respect to sensor gain and phase uncertainties. The sensor gain and phase parameters are obtained by solving a series of linear equations that describe the specific structure of the array covariance matrix for a uniform linear array. Partly calibrated parameter constraints are required due to the rank defect of the coefficient matrix. The necessary condition to enable the partly calibrated sensors to estimate all the unknown gain and phase parameters is also deduced. Sensor noise power, and hence, interference-plus-noise covariance matrix (INCM) can then be calculated with the sensor gain and phase information. The robust adaptive beamformer is finally formed using the reconstructed INCM. In comparison with other reconstruction-based beamformers, the proposed method achieves satisfactory performance when sensor gain and phase uncertainties dominate the steering vector mismatch. The effectiveness of the proposed method is also confirmed by experimental results.https://ieeexplore.ieee.org/document/8573781/Covariance matrix reconstructionrobust adaptive beamformingsensor gain and phase calibrationnon-uniform noise environment
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Long Yang Yixin Yang Jie Yang
spellingShingle	Long Yang Yixin Yang Jie Yang Robust Adaptive Beamforming for Uniform Linear Arrays With Sensor Gain and Phase Uncertainties IEEE Access Covariance matrix reconstruction robust adaptive beamforming sensor gain and phase calibration non-uniform noise environment
author_facet	Long Yang Yixin Yang Jie Yang
author_sort	Long Yang
title	Robust Adaptive Beamforming for Uniform Linear Arrays With Sensor Gain and Phase Uncertainties
title_short	Robust Adaptive Beamforming for Uniform Linear Arrays With Sensor Gain and Phase Uncertainties
title_full	Robust Adaptive Beamforming for Uniform Linear Arrays With Sensor Gain and Phase Uncertainties
title_fullStr	Robust Adaptive Beamforming for Uniform Linear Arrays With Sensor Gain and Phase Uncertainties
title_full_unstemmed	Robust Adaptive Beamforming for Uniform Linear Arrays With Sensor Gain and Phase Uncertainties
title_sort	robust adaptive beamforming for uniform linear arrays with sensor gain and phase uncertainties
publisher	IEEE
series	IEEE Access
issn	2169-3536
publishDate	2019-01-01
description	A robust adaptive beamforming method is proposed in this paper for uniform linear arrays with respect to sensor gain and phase uncertainties. The sensor gain and phase parameters are obtained by solving a series of linear equations that describe the specific structure of the array covariance matrix for a uniform linear array. Partly calibrated parameter constraints are required due to the rank defect of the coefficient matrix. The necessary condition to enable the partly calibrated sensors to estimate all the unknown gain and phase parameters is also deduced. Sensor noise power, and hence, interference-plus-noise covariance matrix (INCM) can then be calculated with the sensor gain and phase information. The robust adaptive beamformer is finally formed using the reconstructed INCM. In comparison with other reconstruction-based beamformers, the proposed method achieves satisfactory performance when sensor gain and phase uncertainties dominate the steering vector mismatch. The effectiveness of the proposed method is also confirmed by experimental results.
topic	Covariance matrix reconstruction robust adaptive beamforming sensor gain and phase calibration non-uniform noise environment
url	https://ieeexplore.ieee.org/document/8573781/
work_keys_str_mv	AT longyang robustadaptivebeamformingforuniformlineararrayswithsensorgainandphaseuncertainties AT yixinyang robustadaptivebeamformingforuniformlineararrayswithsensorgainandphaseuncertainties AT jieyang robustadaptivebeamformingforuniformlineararrayswithsensorgainandphaseuncertainties
_version_	1724192129656291328

Robust Adaptive Beamforming for Uniform Linear Arrays With Sensor Gain and Phase Uncertainties

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