DocumentCode
2563420
Title
A Fuzzy Fusion in Multitarget Tracking with Multisensor
Author
Chen, Xiaohui ; Zhang, Yang
fYear
2007
fDate
15-19 Dec. 2007
Firstpage
152
Lastpage
156
Abstract
In the system of the multi-sensors multi- targets tracking, the data received from sensor measurements may be imprecise, incomplete and ambiguous because of the noise, which may cause the incorrect correlation. Here, according to the position error, velocity error and acceleration error between true value and estimation of the moving targets, a fuzzy track to track fusion algorithm for the multi-sensor multi-target tracking was proposed based on the fuzzy inference. The algorithm were tested by the real data from the different sonar sensor measurements. The results show that the approaches are good and valid, and well for the distributed multi-sensor multi-target tracking. The accuracy of tracking in clutter is high.
Keywords
Acceleration; Computational intelligence; Fuzzy logic; Gaussian noise; Inference algorithms; Mathematical model; Neural networks; Noise measurement; State estimation; Target tracking;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Security, 2007 International Conference on
Conference_Location
Harbin, China
Print_ISBN
0-7695-3072-9
Electronic_ISBN
978-0-7695-3072-7
Type
conf
DOI
10.1109/CIS.2007.124
Filename
4415321
Link To Document