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
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;
Conference_Titel :
Control Applications, 2002. Proceedings of the 2002 International Conference on
Print_ISBN :
0-7803-7386-3
DOI :
10.1109/CCA.2002.1038791
