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Optimal allocation of multi-sensor passive localization
Alternative TitleOptimal allocation of multi-sensor passive localization
Wang BenCai1; He You1; Wang GuoHong1; Xiu JianJuan1
2010
Source PublicationSCIENCE CHINA-INFORMATION SCIENCES
ISSN1674-733X
Volume53Issue:12Pages:2514-2526
AbstractTo 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.
Other AbstractTo 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
KeywordFUSION multi-sensor passive localization optimal allocation geometric dilution of precision cut angle consistency optimal estimate
Indexed ByCSCD
Language英语
Funding Project[National Natural Science Foundation of China] ; [National Excellence Doctoral Dissertation Foundation of China] ; [Construction Engineering of "the Scholar of Mount Tai" of China]
CSCD IDCSCD:4101513
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Document Type期刊论文
Identifierhttp://ir.imr.ac.cn/handle/321006/146523
Collection中国科学院金属研究所
Affiliation1.Naval Aeronaut & Astronaut Univ, Institute Informat Fus, Yantai 264001, Peoples R China
2.中国科学院金属研究所
Recommended Citation
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.
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