Robust Adaptive Beamforming Based on Sliding-window RLS Algorithm

摘要：

First, the role that diagonal-loading technique plays to resolve the mismatch and underestimation problems is explained, which are often encounterd in array signal processing as to estimate the covariance matrix. And then the drawback of RLS algorithm that the diagonal loading value attenuate rapidly is pointed out. Thus a new RLS algorithm using sliding rectangular window (RLS-SVV) is presented to estimate the covariance matrix and invert it recursively. The simulation results shows that RLS-SW algorithm can maintain the diagonal loading value, which makes it more robust Computational complexity of RLS-SW algorithm and other matrix inversion algorithm such as Gaussian elimination and RLS are analyzed and compared. The results show that the RLS-SW algorithm presented in this paper is efficient and robust enough to be applied to real-time adaptive beamforming. (Abstract)

关键词： mismatch diagonal-loading slidingrectangular window recursive least-squares robust adaptive beamforming

作者: MA Long WU Xin-yue

作者单位: Mechanical Engineering Department Naval University of Engineering Wuhan, China

会议类型: 国际会议

会议名称: 2010 2nd International Conference on Signal Processing System(2010年信号处理系统国际会议 ICSPS 2010)

会议地点: 大连

会议语种:英文

页码: 2474-2478

在线出版日期: 2010-07-05（万方平台首次上网日期，不代表论文的发表时间）