Beampattern Synthesis via a Two-sided Adaptive Matrix Approach for MIMO Radar

To reduce the computational complexity and training samples required of Adaptive Matrix Approach (AMA), a Two-Sided AMA (TS-AMA) for MIMO radar is proposed. The proposed algorithm converts the cost function of AMA into a bi-quadratic one by decomposing the weight matrix of AMA into a Kronecker of two small dimensional weight matrices. The new cost function can be efficiently solved by combining Semi-Definite Programming (SDP) with Bi-Iterative Algorithm (BIA). The proposed algorithm has faster convergence rate, smaller training samples required and lower computational complexity comparable with that of AMA. The numerical examples are provided to demonstrate the effectiveness of the proposed algorithm.