Tracking Error Performance of Tracking Filters Based on IMM for Threatening Target to Navel Vessel

  • Fang, Tae-Hyun (WIG Craft Research Division, Korea Ocean Research and Development Institute) ;
  • Choi, Jae-Weon (School of Mechanical Engineering, Pusan National University)
  • 발행 : 2007.08.31

초록

Tracking error performance is investigated for the typical maneuvering pattern of the anti-ship missile for tracking filters based on IMM filter in both clear and cluttered environments. Threatening targets to a navel vessel can be categorized into having three kinds of maneuvering patterns such as Waver, Pop-Up, and High-Diver maneuvers, which are classified according to launching platform or acceleration input to be applied. In this paper, the tracking errors for three kinds of maneuvering targets are represented and are investigated through simulation results. Studying estimation errors for each maneuvering target allows us to have insight into the most threatening maneuvering pattern and to construct the test maneuvering scenario for radar system validation.

키워드

참고문헌

  1. F. Neri, Introduction to Electronic Defense Systems, Artech House, 1991
  2. Y. Bar-Shalom, Multitarget-Multisensor Tracking: Applications and Advances, vol. 2, Artech House, 1992
  3. H. A. P. Blom and Y. Bar-Shalom, 'The interacting multiple model algorithm for systems with Markvian switching coefficients,' IEEE Trans. on Automatic Control, vol. 33, no. 8, pp. 780-783, 1988 https://doi.org/10.1109/9.1299
  4. Y. Zhang and X. R. Li, 'Detection and diagnosis of sensor and actuator failures using IMM estimator,' IEEE Trans. on Aerospace and Electronic Systems, vol. 34, no. 4, pp. 1293-1313, 1998 https://doi.org/10.1109/7.722715
  5. E. Mazor, A. Averbuch, Y. Bar-Shalom, and J. Dayan, 'Interacting multiple model methods in target tracking: A survey,' IEEE Trans. on Aerospace and Electronic Systems, vol. 34, no. 1, pp. 103-123, January 1998 https://doi.org/10.1109/7.640267
  6. H.-S. Kim and S.-Y. Chun, 'Design of fuzzy IMM algorithm based on basis sub-models and time-varying mode transition probabilities,' International Journal of Control, Automation, and Systems, vol. 4, no. 5, pp. 559-566, 2006
  7. J. W. Choi, T. H. Fang, and T. L. Song, 'Interacting multiple model filter with error monitoring and recovery technique of perception pet,' IEE Proceedings-Radar, Sonar and Navigation, pp. 58-64, April 2003
  8. A. Houles and Y. Bar-Shalom, 'Multi sensor tracking of a maneuvering target in clutter,' IEEE Trans. on Aerospace and Electronic Systems, vol. 25, no. 2, pp. 176-188, March 1989 https://doi.org/10.1109/7.18679
  9. Y. Bar-Shlom, and T. Fortmann, Tracking and Data Association, Academic Press, 1988
  10. R. A. Singer, 'Estimation optimal tracking filter performance for manned maneuvering targets,' IEEE Trans. on Aerospace and Electronic Systems, vol. 6, no. 4, pp. 473-483, July 1970 https://doi.org/10.1109/TAES.1970.310128