DocumentCode
2333227
Title
Optimal fusion estimation covariance of multisensor data fusion on tracking problem
Author
Xue-bo, Jin ; You-xian, Sun
Author_Institution
Nat. Lab. of Ind. Control Technol., Zhejiang Univ., Hangzhou, China
Volume
2
fYear
2002
fDate
2002
Firstpage
1288
Abstract
A measurement fusion function is defined and shown to decide the covariance of measurement fusion. If two multisensor data fusion systems have identical measurement fusion function, then the systems have identical covariances. The greater the function is, the less covariance the fusion system can obtain.
Keywords
covariance analysis; measurement theory; sensor fusion; state-space methods; tracking; measurement fusion covariance; measurement fusion function; multisensor data fusion; optimal fusion estimation covariance; state-space model; tracking problem; Covariance matrix; Erbium; Noise measurement; Performance evaluation; Sensor fusion; Sensor phenomena and characterization; Sensor systems; State estimation; Target tracking; White noise;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Applications, 2002. Proceedings of the 2002 International Conference on
Print_ISBN
0-7803-7386-3
Type
conf
DOI
10.1109/CCA.2002.1038791
Filename
1038791
Link To Document