Robust adaptive beamforming for general-rank signal models using positive semi-definite covariance constraint

In this paper, we develop an improved approach to the worstcase robust adaptive beamforming for general-rank signal models by means of taking into account the positive semi-definite constraint for the mismatched signal covariance matrix. The resulting robust adaptive beamforming problem is solved in an iterative way using semi-definite programming (SDP) at each iteration. Simulation results show that the proposed technique achieves a substantially improved performance as compared to the current robust adaptive beamforming techniques developed for the general-rank signal environments.

• Type: Conference
• Year: 2008
• Where: ICASSP
• Authors: Haihua Chen, Alex B. Gershman
• Keywords: Adaptive Beamforming Problem, Adaptive Beamforming Techniques, ICASSP 2008, Robust Adaptive Beamforming, Signal Processing