Robust Constrained LSCMA Algorithm under Signal Steering Vector Mismatches
When adaptive arrays are applied to practical problems, the constrained LSCMA can suffer significant performance degradation in the presence of the mismatch between the actual direction of arrival (DOA) of the signal and the look direction of the beamformers. In this paper, a novel robust constrained LSCMA under signal steering vector mismatches is proposed by using a Bayesian approach, which is robust to uncertainty in source DOA. The proposed algorithm has nearly optimal performance under good conditions, provides an improved robustness to uncertainty in DOA under poor conditions and improves the mean output array SINR. Computer simulations compare the performance of our algorithm with the linear constrained LSCMA.
adaptive arrays signal mismatch problem robust adaptive beamformin linear constrained LSCMA
Xin Song Jinkuan Wang Bin Wang Yinghua Hart
Engineering Optimization and Smart Antenna Institute Northeastern University at Qinhuangdao Qinhuangdao, 066004, China
国际会议
长沙
英文
2341-2344
2009-10-10（万方平台首次上网日期，不代表论文的发表时间）