Recursion Subspace-Based Method for Bearing Estimation

摘要：

In this paper, a recursion subspace-based method (RSM) is presented to estimate the bearings of incident signals impinging on a uniform linear array (ULA).Unlike the existing linear operation based methods, such as the signal subspace method without eigendecomposition (SUMWE) of Xin et al, that calculate the noise subspace,the RSM method finds a cleaner signal subspace by means of a successive recursion procedure. Thus, the RSM method has the advantages of computational simplicity and accurateestimation, in particular for a large array. Numerical results are presented to compare the performance the RSM method with that of the SUMWE methods.

关键词： Sensor array signal processing Bearing estimation. Forward/backward spatial smoothing ( FBSS).

作者: Lei HUANG Xia LI Liangwei CAI Shunjun WU

作者单位: College of Information Engineering, Shenzhen University, Shenzhen, Guangdong 518060, China National Lab of Radar Signal Processing, Xidian University, Xian 710071, China

会议类型: 国际会议

会议名称: 第三届信号设计及其在通信中的应用国际会议(Proceedings of 2007 International Workshop on Signal Design and Its Applications in Communications IWSDA07)

会议地点: 成都

会议语种:英文

页码: 190-194

在线出版日期: 2007-09-23（万方平台首次上网日期，不代表论文的发表时间）