Multiple moving sources passive location based on multiset canonical correlation analysis  

作　　者：禹华钢 Huang Gaoming Gao Jun 

机构地区：[1]College of Electronic Engineering, Naval University of Engineering, Wuhan 430033, P. R. China [2]Marine Communication Technology Institute, Beijing 100841, P. R. China

出　　处：《High Technology Letters》2013年第2期197-202,共6页高技术通讯（英文版）

基　　金：Supported by the National High Technology Research and Development Program of China(No.2009AAJ116,2009AAJ208,2010AA7010422);the National Science Foundation for Post-Doctoral Scientists of China(No.20080431379,200902671);the Hubei Natural Science Foundation(No.2009CDB031)

摘　　要：To solve the problem of multiple moving sources passive location, a novel blind source separa- tion （BSS） algorithm based on the muhiset canonical correlation analysis （MCCA） is presented by exploiting the different temporal structure of uncorrelated source signals first, and then on the basis of this algorithm, a novel multiple moving sources passive location method is proposed using time difference of arrival （TDOA） and frequency difference of arrival （FDOA） measurements. The key technique of this location method is TDOA and FDOA joint estimation, which is based on BSS. By blindly separating mixed signals from multiple moving sources, the multiple sources location problem can be translated to each source location in turn, and the effect of interference and noise can also he removed. The simulation results illustrate that the performance of the MCCA algorithm is very good with relatively light computation burden, and the location algorithm is relatively simple and effective.To solve the problem of multiple moving sources passive location,a novel blind source separation(BSS) algorithm based on the multiset canonical correlation analysis(MCCA) is presented by exploiting the different temporal structure of uncorrelated source signals first,and then on the basis of this algorithm,a novel multiple moving sources passive location method is proposed using time difference of arrival(TDOA) and frequency difference of arrival(FDOA) measurements.The key technique of this location method is TDOA and FDOA joint estimation,which is based on BSS.By blindly separating mixed signals from multiple moving sources,the multiple sources location problem can be translated to each source location in turn,and the effect of interference and noise can also be removed.The simulation results illustrate that the performance of the MCCA algorithm is very good with relatively light computation burden,and the location algorithm is relatively simple and effective.

关 键 词：multiset canonical correlation analysis （MCCA） blind source separation （BSS） time difference of arrival （TDOA） frequency difference of arrival （FDOA） passive location mul-tiple sources 

分 类 号：TN95[电子电信—信号与信息处理]