DocumentCode
353776
Title
Unified optimal linear estimation fusion. II. Discussions and examples
Author
Li, X. Rong ; Wang, Jie
Author_Institution
Dept. of Electr. Eng., New Orleans Univ., LA, USA
Volume
1
fYear
2000
fDate
10-13 July 2000
Abstract
For pt.I see ibid., p.MOC2 10-17. Several unified optimal estimation/track fusion rules in the sense of best linear unbiased estimation (BLUE) and weighted least squares (WLS) have been presented in pt.I for centralized, distributed, and hybrid fusion architectures. This paper discusses their pros and cons, verifies these rules, and demonstrate via simulation examples how these fusion rules can be used in cases with either complete, incomplete, or no prior information about the estimate (i.e., the quantity to be estimated).
Keywords
estimation theory; sensor fusion; statistical analysis; BLUE; MMSE estimation; best linear unbiased estimation; estimation fusion; fusion architectures; fusion rules; optimal estimation; track fusion; unified optimal linear estimation fusion; weighted least squares; Computer architecture; Data models; Distributed computing; Equations; Estimation error; Least squares approximation; Sensor fusion;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Fusion, 2000. FUSION 2000. Proceedings of the Third International Conference on
Conference_Location
Paris, France
Print_ISBN
2-7257-0000-0
Type
conf
DOI
10.1109/IFIC.2000.862452
Filename
862452
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