Bi-capon beamforming for MIMO radar based on rank-reduced correlation matrix  

作　　者：HE Jie FENG Da-zheng Nicolas H. Younan MA Lun 

机构地区：[1]School of Information Engineering, Chang'an University [2]National Laboratory of Radar Signal Processing, Xidian University [3]Department of Electrical and Computer Engineering, Mississippi State University

出　　处：《The Journal of China Universities of Posts and Telecommunications》2013年第1期85-90,共6页中国邮电高校学报（英文版）

基　　金：supported by the National Natural Science Foundation of China (60971111);the Natural Science Foundation of Shaanxi Province (2011JQ8041)

摘　　要：A bi-capon beamforming （BCB） algorithm for multi-input multi-output （MIMO） radar is developed on the basis of correlation domain. By vectorizing the echo matrix and its transpose, the conventional capon cost function is transformed into bi-capon quadratic functions. By calculating two lower dimensional weight vectors with sub-matrices of the correlation matrix, BCB can significantly decrease the computational complexity and the requirement of training samples. In the presence of short data records, BCB can achieve better interference suppression performance than fully adaptive capon algorithm. Simulation results are presented to demonstrate the effectiveness of the proposed method.A bi-capon beamforming （BCB） algorithm for multi-input multi-output （MIMO） radar is developed on the basis of correlation domain. By vectorizing the echo matrix and its transpose, the conventional capon cost function is transformed into bi-capon quadratic functions. By calculating two lower dimensional weight vectors with sub-matrices of the correlation matrix, BCB can significantly decrease the computational complexity and the requirement of training samples. In the presence of short data records, BCB can achieve better interference suppression performance than fully adaptive capon algorithm. Simulation results are presented to demonstrate the effectiveness of the proposed method.

关 键 词：MIMO radar capon beamforming CORRELATION complexity performance 

分 类 号：TN958[电子电信—信号与信息处理]