Robust weak signal detection and bearing estimation

Robust weak signal detection is quite a difficult problem in the presence of interferences and noise. Generally, adaptive beamforming is an efficient way of interference suppression. However, conventional adaptive beamforming, e.g. MVDR may degrade significantly due to mismatch in the practical applications. In this paper, a robust adaptive interference suppression method is presented and then the worst-case performance optimization is implemented on the eigenanalysis-based re-constructed covariance matrix. Experimental results show the proposed method can efficiently suppress the interferences and then be for robust adaptive beamforming and weak signal detection.