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http://dx.doi.org/10.5391/JKIIS.2005.15.5.593

A New Intelligent Tracking Algorithm Using Fuzzy Kalman Filter  

Noh Sun-Young (연세대학교 전기전자공학과)
Joo Young-Hoon (군산대학교 전자정보공학부)
Park Jin-Bae (연세대학교 전기전자공학과)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.15, no.5, 2005 , pp. 593-598 More about this Journal
Abstract
The standard Kalman filter has been used to estimate the states of the target, but in the presence of a maneuver, its error is occurred and performance may be seriously degraded. To solve this problem, this paper presents a new intelligent tracking algorithm using the fuzzy Kalman filter. In this algorithm, the unknown acceleration is regarded as an additive process noise by using the fuzzy logic based on genetic algorithm(GA) method. And then, the modified filter is corrected by the new update equation method which is a fuzzy system using the relation between the filter residual and its variation. To shows the feasibility of the suggested method with only one filter, the computer simulations system are provided, this method is compared with multiple model method.
Keywords
Fuzzy Kalman filter; maneuvering target tracking; GA; fuzzy system;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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