DocumentCode :
2872253
Title :
Distributed interacting Multiple model joint probabilistic data association algorithm based on fuzzy weighted method
Author :
Jianghu, Xu ; Feng, Xue
Author_Institution :
Electron. Eng. Coll., Naval Univ. of Eng., Wuhan, China
Volume :
9
fYear :
2010
fDate :
22-24 Oct. 2010
Abstract :
A distributed interacting Multiple model joint probabilistic data association algorithm based on fuzzy weighted method is presented in this paper. The model probabilities, state estimation and its covariance of same target corresponding to different sensors are fused in the fusion centre using fuzzy weighted method in the algorithm. The fuzzy weight is membership degree of trace of covariance of same target corresponding to different sensors. The effectivity and validity of the algorithm are tested by computer simulation.
Keywords :
covariance analysis; fuzzy set theory; probability; sensor fusion; state estimation; target tracking; covariance; distributed interacting data association algorithm; fuzzy membership; fuzzy weighted method; multiple model joint probabilistic data association algorithm; sensor fusion; state estimation; Computational modeling; Joints; Sensor fusion; State estimation; Target tracking; distributed multisensor; fuzzy weight; multitarget tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Application and System Modeling (ICCASM), 2010 International Conference on
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4244-7235-2
Electronic_ISBN :
978-1-4244-7237-6
Type :
conf
DOI :
10.1109/ICCASM.2010.5623097
Filename :
5623097
Link To Document :
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