Author(s)

Guo Jing, Luo Zhangkai, Wang Xingmin

Corresponding Author

Luo Zhangkai

ABSTRACT

As we know, the mainlobe interference always cause the adaptive beam pattern distortion which leads to the performance degradation. To over the problem, in this paper, a novel method is proposed to remove the mainlobe interference from the covariance matrix based on interference-plus-noise covariance matrix reconstruction. In which the direction of each interference is estimated to form separated angular sectors which are regarded as integral intervals. Then we use the Capon spectrum as an estimate of the spatial power spectrum to integral over the angular sectors to get the reconstructed covariance matrix. Furthermore the eigen-projection matrix preprocessing method and the block matrix preprocessing method is compared, while the EMP method is improved by using the eigenvector corresponding to the maximum eigenvalue of the reconstructed covariance of the mainlobe interference. Finally, the adaptive weight is obtained based on the reconstructed covariance matrix for the proposed method. Theoretical analysis and simulation results show the effectiveness and robustness of the proposed method.

KEYWORDS

Mainlobe interference suppression, covariance matrix reconstruction, robust adaptive beamforming