前后向空间平滑对相关信号源的DOA估计性能  

Performance of DOA estimation for correlated sources by forward-backward spatial smoothing

作　　者：李海森[1] 周天[2] 朱志德[2] 孙圣和[1] 

机构地区：[1]哈尔滨工业大学仪器科学与技术博士后流动站,哈尔滨15001 [2]哈尔滨工程大学水声工程学院,哈尔滨15001

出　　处：《哈尔滨工业大学学报》2007年第3期416-419,共4页Journal of Harbin Institute of Technology

基　　金：中国高等学校博士点基金资助项目(20050217010);中国博士后科学基金资助项目(LRB00025);水声技术重点实验室基金资助项目(51445030205ZS2301;9140C200501060C20)

摘　　要：提出一种实用的前后向空间平滑(RFBS)算法,从理论上定量分析了统计意义下子阵数目与前后向空间平滑算法解相关性能的关系.理论分析表明,采用该算法后,可明显降低相关信号源的相关系数,且该方法不破坏非相关信号源的独立性.计算机仿真了在总阵元一定的情况下,子阵数目与相干信号源数目分辨概率在不同信噪比下的相互关系,并验证了算法的有效性.A practical realization of forward-backward ship between the number of sub - arrays and the de-co analyzed spatial smoothing algorithm is proposed. The relationrrelating performance of spatial smoothing algorithm is quantitatively in the case of star sense. Academic analysis indicates that the correlation coefficient is reduced and the independence among uncorrelated signal sources is reserved after adoption of the At the end, simulated results about the hing probability under different SNR on of the algorithm is tested. algorithm mutual relation between the number of sub-arrays and the distinguisthe premise of fixed total array elements are given, and the efficiency of the algorithm is tested.

关 键 词：相关信号源 RFBS算法 相关系数 

分 类 号：TN911[电子电信—通信与信息系统]