Abstract: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.
王勇, 刘宏伟, 纠博, 杨晓超. 针对方向图综合的MIMO雷达双边自适应矩阵算法[J]. 电子与信息学报, 2012, 34(4): 898-903.
Wang Yong, Liu Hong-Wei, Jiu Bo, Yang Xiao-Chao. Beampattern Synthesis via a Two-sided Adaptive Matrix Approach for MIMO Radar. , 2012, 34(4): 898-903.