Adaptive Beamforming Based on Eigen-Oblique Projection for Mainlobe Interference Suppression

摘要

The mainlobe interferences would severely deteriorate the performance of traditional adaptive beamforming. The existing mainlobe interference suppression method based on eigen-projection preprocessing can solve the beam distortion problem well, but it has a loss of the expected signal and a large amount of computation. To solve this problem, a based on eigen-oblique projection and covariance matrix reconstruction method is proposed. The eigen-oblique projection matrix can filter out the mainlobe interference and reduce the loss of the expected signal. The reconstructed covariance matrix can keep the beam shape and reduce the computational complexity. The simulation results demonstrate the validity of the proposed method in avoiding the main beam distortion and improving the output SINR with fast convergence.