Journal of Electrical Engineering and Technology

  • 제7권2호
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  • Pages.255-263
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  • 2012
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  • 1975-0102(pISSN)
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  • 2093-7423(eISSN)
대한전기학회 (The Korean Institute of Electrical Engineers)
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SIMM Method Based on Acceleration Extraction for Nonlinear Maneuvering Target Tracking

  • Son, Hyun-Seung (Dept. of Electrical and Electronic Engineering, Yonsei University) ;
  • Park, Jin-Bae (Dept. of Electrical and Electronic Engineering, Yonsei University) ;
  • Joo, Young-Hoon (Dept. of Control and Robot Engineering, Kunsan University)
  • 투고 : 2011.04.06
  • 심사 : 2011.10.26
  • 발행 : 2012.03.01
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초록

This paper presents the smart interacting multiple model (SIMM) using the concept of predicted point and maximum noise level. Maximum noise level means the largest value of the mere noises. We utilize the positional difference between measured point and predicted point as acceleration. Comparing this acceleration with the maximum noise level, we extract the acceleration to recognize the characteristics of the target. To estimate the acceleration, we propose an optional algorithm utilizing the proposed method and the Kalman filter (KF) selectively. Also, for increasing the effect of estimation, the weight given at each sub-filter of the interacting multiple model (IMM) structure is varying according to the rate of noise scale. All the procedures of the proposed algorithm can be implemented by an on-line system. Finally, an example is provided to show the effectiveness of the proposed algorithm.

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참고문헌

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