Optimal allocation of multi-sensor passive localization

作     者：WANG BenCai 1,2,HE You 1,WANG GuoHong 1 & XIU JianJuan 1 1 Institute of Information Fusion,Naval Aeronautical and Astronautical University,Yantai 264001,China 2 Unit 93286,PLA,Shenyang 110141,China 

作者机构：Institute of Information Fusion Naval Aeronautical and Astronautical University Yantai China Unit 93286 PLA Shenyang China 

出 版 物：《Science China(Information Sciences)》 (中国科学:信息科学(英文版))

年 卷 期：2010年第53卷第12期

页      面：2514-2526页

核心收录：

学科分类：080202[工学-机械电子工程] 08[工学] 0802[工学-机械工程] 

基　　金：supported by the National Natural Science Foundation of China (Grant No. 60801049) the Author of National Excellence Doctoral Dissertation Foundation of China (Grant No. 200443) the Construction Engineering of “the Scholar of Mount Tai” of China 

主　　题：multi-sensor passive localization optimal allocation geometric dilution of precision cut angle consistency optimal estimate 

摘      要：To improve multi-sensor passive localization precision,the optimal allocation form of multi-sensor bearing-only localization is analyzed from the perspective of the geometric dilution of precision(GDOP) of the least squares(LS) *** paper indicates that whether the target lies inside the closed region formed by the sensors or not,the optimal allocation is when each adjacent cut angle between a sensor pair is identical,and all sensors are located on the border of the circle that has the target(which is also the origin of the coordinate system) as its *** there is no restriction on the adjacent cut angle in the above allocation,the optimal estimate of the LS algorithm in the sense of minimum variance can be *** the LS algorithm achieves the optimal estimate and the sensors present the optimal allocation,the respective consistencies are *** results verify the analysis of the optimal allocation form above,which can be used in multi-sensor passive localization algorithms based on sensor management.