Using self-location to calibrate the errors of observer positions for source localization  

作　　者：Wanchun Li Wanyi Zhang Liping Li 

机构地区：[1]School of Electronic Engineering, University of Electronic Science and Technology of China

出　　处：《Journal of Systems Engineering and Electronics》2014年第2期194-202,共9页系统工程与电子技术（英文版）

基　　金：supported by the Fundamental Research Funds for the Central Universities(ZYGX2009J016)

摘　　要：The uncertainty of observers＇ positions can lead to significantly degrading in source localization accuracy. This pa-per proposes a method of using self-location for calibrating the positions of observer stations in source localization to reduce the errors of the observer positions and improve the accuracy of the source localization. The relative distance measurements of the two coordinative observers are used for the linear minimum mean square error （LMMSE） estimator. The results of computer si-mulations prove the feasibility and effectiveness of the proposed method. With the general estimation errors of observers＇ positions, the MSE of the source localization with self-location calibration, which is significantly lower than that without self-location calibra-tion, is approximating to the Cramer-Rao lower bound （CRLB）.The uncertainty of observers＇ positions can lead to significantly degrading in source localization accuracy. This pa-per proposes a method of using self-location for calibrating the positions of observer stations in source localization to reduce the errors of the observer positions and improve the accuracy of the source localization. The relative distance measurements of the two coordinative observers are used for the linear minimum mean square error （LMMSE） estimator. The results of computer si-mulations prove the feasibility and effectiveness of the proposed method. With the general estimation errors of observers＇ positions, the MSE of the source localization with self-location calibration, which is significantly lower than that without self-location calibra-tion, is approximating to the Cramer-Rao lower bound （CRLB）.

关 键 词：self-location errors of the observer positions linearminimum mean square error （LMMSE） estimator accuracy of thesource localization Cramer-Rao lower bound （CRLB）. 

分 类 号：TN911.7[电子电信—通信与信息系统]