FDA-MIMO Radar Robust Beamforming Based on Matrix Weighting Method

This paper deals with the problem of robust beamforming and target power estimation in the presence of main-lobe interference with frequency division array multiple-input multiple-output (FDA-MIMO) radar by adopting a weighting matrix at the receiving end. Based on the semi-definite programming (SDP) to solve the covariance matrix of the weighting matrix, we propose two beamforming methods and two methods for estimating the target power when the interference has a position error. Then, we propose obtaining the weighting matrix by performing singular value decomposition on the covariance matrix. We confirm the effectiveness of the developed method by comparing beam pattern and target signal estimation performance.

Automated summary

This paper presents a solution for robust beamforming and target power estimation in the presence of main-lobe interference. The solution involves the use of a weighting matrix at the receiving end, which is obtained through semi-definite programming and singular value decomposition. The effectiveness of the proposed method is confirmed through performance comparison.