DocumentCode :
2670434
Title :
Track correlation for multisensor system based on NN and general classical assignment algorithm
Author :
Juan, Zhang ; Jie, Chen ; Mei, Duan
Author_Institution :
Dept. of Autom. Control, Beijing Inst. of Technol., Beijing
fYear :
2008
fDate :
16-18 July 2008
Firstpage :
803
Lastpage :
806
Abstract :
Track correlation is the key problem in the information fusion of the distributed multisensor system. The purpose is to judge whether or not the tracks In a distributed multisensor system, coming from different local nodes are maed to a same target. The flow of the track corelation of multisensor system is proposed based on the analysis about the problem. At first, space and time registration for the datum detected by different kinds of sensor from different place were taken with NN technology. Then the problem of track correlation were transformed to the generalized classical assignment problem and NN were used to deal with this problem. The simulation experimental results illustrate that with above method, the system has higher correct association rate.
Keywords :
neural nets; sensor fusion; distributed multisensor system; general classical assignment algorithm; information fusion; multisensor system; neural net; track correlation; Information science; Multisensor systems; Neural networks; Space technology; Target tracking; Distributed multisensor system; General classical assignment algorithm; NN; Space and time registration; Track correlation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference, 2008. CCC 2008. 27th Chinese
Conference_Location :
Kunming
Print_ISBN :
978-7-900719-70-6
Electronic_ISBN :
978-7-900719-70-6
Type :
conf
DOI :
10.1109/CHICC.2008.4605758
Filename :
4605758
Link To Document :
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