DocumentCode :
461698
Title :
Algorithm of Fuzzy Track Correlation in Multisensor System Based on Neural Network
Author :
Tian, Baoguo ; Zhang, Jiping ; Yang, Shulian
Author_Institution :
Naval Aeronaut. Eng. Inst.
Volume :
3
fYear :
2006
fDate :
16-20 2006
Abstract :
The problem of track correlation is transformed to a problem of multi-dimensional assignment in the situation of multiple local nodes in a distributed multisensor data fusion system. Because the problem of multi-dimensional assignment is a typical NP hard problem, a new model of three-dimensional neural network is proposed to deal with it. The experimental results illustrate that this model not only makes the track correlation correct percent high, but also the processing time can not increase exponentially with dimensions
Keywords :
computational complexity; correlation methods; distributed sensors; fuzzy set theory; neural nets; sensor fusion; NP hard problem; distributed multisensor data fusion system; fuzzy track correlation; multidimensional assignment; multisensor system; three-dimensional neural network; Aerospace engineering; Electronic mail; Fuzzy logic; Fuzzy neural networks; Fuzzy sets; Fuzzy systems; Multisensor systems; NP-hard problem; Neural networks; Target tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing, 2006 8th International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-9736-3
Electronic_ISBN :
0-7803-9736-3
Type :
conf
DOI :
10.1109/ICOSP.2006.345771
Filename :
4129237
Link To Document :
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