제어로봇시스템학회:학술대회논문집
- 제어로봇시스템학회 2005년도 ICCAS
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- Pages.1500-1504
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- 2005
GA-Based Fuzzy Kalman Filter for Tracking the Maneuvering Target
- Noh, Sun-Young (Department of Electrical and Electronic Engineering, Yonsei University) ;
- Lee, Bum-Jik (Department of Electrical and Electronic Engineering, Yonsei University) ;
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Joo, Young-Hoon
(School of Electronic and Information Engineering, Kunsan National University) ;
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Park, Jin-Bae
(Department of Electrical and Electronic Engineering, Yonsei University)
- 발행 : 2005.06.02
초록
This paper proposes the design methodology of genetic algorithm (GA)-based fuzzy Kalman filter for tracking the maneuvering target. The performance of the standard Kalman Filter (SKF) has been degraded because mismatches between the modeled target dynamics and the actual target dynamics. To solve this problem, we use the method to estimate the increment of acceleration by a fuzzy system using the relation between maneuver filter residual and non-maneuvering one. To optimize the fuzzy system, a genetic algorithm (GA) is utilized and this is then tuned by the fuzzy logic correction. Finally, the tracking performance of the proposed method has been compared with those of the input estimation (IE) technique and the intelligent input estimation (IIE) through computer simulations.
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