대한전기학회:학술대회논문집 (Proceedings of the KIEE Conference)
- 대한전기학회 2005년도 학술대회 논문집 정보 및 제어부문
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- Pages.499-501
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- 2005
지능형 추적 알고리즘
Intelligent Tracking Algorithm for Maneuvering Target
- Noh, Sun-Young (Yonsei University) ;
- Joo, Young-Hoon (Kunsan National University) ;
- Park, Jin-Bae (Yonsei University)
- 발행 : 2005.10.28
초록
When the target maneuver occurs, the estimate of the standard Kalman filter is biased and its performance may be seriously degraded. To solve this problem, this paper proposes a new intelligent estimation algorithm for a maneuvering target. This algorithm is to estimate the unknown target maneuver by a fuzzy system using the relation between the filter residual and its variation. The detected acceleration input is regarded as an additive process noise. To optimize the employed fuzzy system, the genetic algorithm (GA) is utilized. And then, the modified filter is corrected by the new update equation method using the fuzzy system. The tracking performance of the proposed method is compared with those of an interacting multiple model (IMM).