Rapidly Generated Mainlobe Deceptive Jammer Suppression via Matrix Decomposition in FDA-MIMO Radar

The main purpose of this paper is rapidly generated mainlobe deceptive jammer suppression in the framework of a frequency diverse array-multiple-input multiple-output (FDA-MIMO) radar. Particularly, an innovative solution based on the two-low-rank matrix decomposition (2-LRMD) model is proposed. At the stage of signal model formulation, the echo is conformed to the aforementioned model, and it can be separated into two low-rank matrices corresponding to the true target and rapidly generated mainlobe deceptive jammers, also called false targets, respectively. Then, we establish an optimization problem so as to solve the 2-LRMD problem via alternating direction method of multipliers (ADMM) algorithm. Moreover, the procedure of residual jammer matrix extraction via truncated singular value decomposition (SVD) is implemented to better recover the signal matrices of true and false targets. Numerical simulation results are presented to attest the effectiveness of our method in mitigating the rapidly generated mainlobe deceptive jammers.