Robust Widely Widely Beamforming via the Technique of Shrinkage for Steering Vector Estimation

In this paper, two novel robust widely linear beamforming algorithms based on the technique of shrinkage are proposed, i.e., the WL-RBLW and the WL-OAS. Firstly, in order to remove the signal-of-interest's (SOl's) component from the sample covariance matrix (SCM), the augmented interferenc...

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Bibliographic Details
Main Authors: Liu, Jiangbo, Xie, Wei, Wang, Changsheng, Wan, Qun
Format: Conference Proceeding
Language:English
Subjects:
Array signal processing
augmented covariance matrix reconstruction
Correlation
Covariance matrices
Estimation
Interference
noncircular signal
Robustness
shrinkage method
signal steering vector estimation
Signal to noise ratio
Widely linear beamforming
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Summary:In this paper, two novel robust widely linear beamforming algorithms based on the technique of shrinkage are proposed, i.e., the WL-RBLW and the WL-OAS. Firstly, in order to remove the signal-of-interest's (SOl's) component from the sample covariance matrix (SCM), the augmented interference-plus-noise covariance matrix (A-IPNCM) is reconstructed based on the spatial spectrum of noncircular coefficient. Then, a modified Rao-Blackwell Ledoit-Wolf (RBLW) estimator and a modified Oracle Approximating Shrinkage (OAS) estimator are developed to directly estimate the desired signal's extended steering vector. Only the prior knowledge of the antenna array geometry and the angular sector in which the desired signal is located are utilized in the proposed algorithms. Compared with several representative robust WL beamformers, numerical simulations demonstrate that the proposed beamformers can achieve a better performance.
ISSN:2379-190X
DOI:10.1109/ICASSP.2018.8462446