Optimal allocation of multi-sensor passive localization

IMR OpenIR

	Optimal allocation of multi-sensor passive localization
其他题名	Optimal allocation of multi-sensor passive localization
	Wang BenCai 1; He You 1; Wang GuoHong 1; Xiu JianJuan 1
	2010
发表期刊	SCIENCE CHINA-INFORMATION SCIENCES
ISSN	1674-733X
卷号	53 期号:12 页码:2514-2526
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) algorithm. This 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 center. When 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 acquired. When the LS algorithm achieves the optimal estimate and the sensors present the optimal allocation, the respective consistencies are analyzed. Simulation results verify the analysis of the optimal allocation form above, which can be used in multi-sensor passive localization algorithms based on sensor management.
其他摘要	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)algorithm. This 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 center. When 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 acquired. When the LS algorithm achieves the optimal estimate and the sensors present the optimal allocation, the respective consistencies are analyzed. Simulation results verify the analysis of the optimal allocation form above, which can be used in multi-sensor passive localization algorithms based on sensor management
关键词	FUSION multi-sensor passive localization optimal allocation geometric dilution of precision cut angle consistency optimal estimate
收录类别	CSCD
语种	英语
资助项目	[National Natural Science Foundation of China] ; [National Excellence Doctoral Dissertation Foundation of China] ; [Construction Engineering of "the Scholar of Mount Tai" of China]
CSCD记录号	CSCD:4101513
引用统计
文献类型	期刊论文
条目标识符	http://ir.imr.ac.cn/handle/321006/146526
专题	中国科学院金属研究所
作者单位	1.Naval Aeronaut & Astronaut Univ, Institute Informat Fus, Yantai 264001, Peoples R China 2.中国科学院金属研究所
推荐引用方式 GB/T 7714	Wang BenCai,He You,Wang GuoHong,et al. Optimal allocation of multi-sensor passive localization[J]. SCIENCE CHINA-INFORMATION SCIENCES,2010,53(12):2514-2526.
APA	Wang BenCai,He You,Wang GuoHong,&Xiu JianJuan.(2010).Optimal allocation of multi-sensor passive localization.SCIENCE CHINA-INFORMATION SCIENCES,53(12),2514-2526.
MLA	Wang BenCai,et al."Optimal allocation of multi-sensor passive localization".SCIENCE CHINA-INFORMATION SCIENCES 53.12(2010):2514-2526.