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