On the robustness of covariance matrix shrinkage-based robust adaptive beamforming

Authors

Zhitao Xiao, Tianjin Polytechnic University, Institute of Molecular and Cell Biology, Tianjin University of TechnologyFollow
Jiahao Wang, Tianjin Polytechnic University
Lei Geng, Tianjin University
Fang Zhang, Tianjin University of TechnologyFollow
Jun Tong, University of WollongongFollow

RIS ID

133095

Publication Details

Z. Xiao, J. Wang, L. Geng, F. Zhang & J. Tong, "On the robustness of covariance matrix shrinkage-based robust adaptive beamforming," in Proceedings of the 2018 International Conference on Electronics and Electrical Engineering Technology, EEET '18, 2018, pp. 196-201.

Abstract

Beamforming has been widely studied in wireless communications, radar, sonar, and other array systems. Digital beamforming is usually designed based on the array response and the estimation of the covariance matrix of the received signal. Various model mismatch issues can arise due to unequal antenna gains, phase errors, direction-or-arrival (DOA) mismatch and imperfect estimation of the covariance matrix. Different methods based on the shrinkage estimation of the covariance matrix and interference-plus-noise covariance matrix reconstruction have been proposed to address the challenges. In this paper, we investigate the robustness of several approaches in the presence of model uncertainties. We demonstrate the pros and cons of those approaches under different scenarios, based on which recommendation on the choice of the proper method may be made.