Robust Adaptive Beamforming with Improved Interferences Suppression and a New Steering Vector Estimation Based on Spatial Power Spectrum

Abstract

In this paper, a new robust adaptive beamforming algorithm is proposed with increased attenuation of interference signals. This is achieved by reconstructing the interference-plus-noise covariance matrix using the Capon spatial power estimator. In the latter the total sample covariance matrix is replaced by its square, which is shown to enhance the interference rejection capability of the minimum variance distortionless response beamformer. Also, a new method for estimating the desired signal's steering vector is introduced based on reconstructing the desired signal's covariance matrix and employing the discrete Fourier transform of the correlation sequence. The effectiveness of the proposed method is demonstrated by numerical results.