一种信源个数与波达方向联合估计的新算法  

A Novel Algorithm for Joint Source-Number Detection and DOA Estimation

作　　者：包志强[1] 吴顺君[1] 张林让[1] 

机构地区：[1]西安电子科技大学雷达信号处理国家重点实验室,陕西西安710071

出　　处：《电子学报》2006年第12期2170-2174,共5页Acta Electronica Sinica

基　　金：国家自然科学基金(No.60102005);国家重点实验室基金(No.J14203220033);国防预研项目(No.413070508)

摘　　要：针对多级维纳滤波器(MSWF)用于子空间估计时信号特征矢量泄漏到噪声子空间的问题,提出了一种新的信号子空间估计算法,该算法不需要训练信号和信源个数的先验知识.随后,给出了一种信源个数的后判断方法,最终完成信源个数及方向的同时估计.整个算法不需要协方差矩阵的计算和特征值的分解,具有较低的计算复杂度.在均匀线阵且信号互不相关情况下,改进后的算法用于波达方向估计时拥有与基于特征分解方法近似的性能.仿真结果验证了该方法的有效性.For the problem of signal leakage into noise subspace using Multi-stage wiener filter （MSWF） technique to estimate the signal subspace, this paper presents a subspace estimation algorithm. This method does not require the training signal and pre-knowledge of source number. Then, a post detection method is proposed for the source number estimation.And the source number detection and DOA estimation can be simultaneously completed. The whole algorithm does not need computing covafiance matrix and eigen-deeomposition, so the complexity is greatly decreased. Compared with the classical eigen-value decomposition （EVD） based methods, the procedure has less computation complexity with the approximation performance in the simulation of uniform linear array and uncorrelated signals. The simulation results demonstrate its effectiveness.

关 键 词：多级维纳滤波器 波达方向 信源个数检测 阵列信号处理 

分 类 号：TN911.7[电子电信—通信与信息系统]