대한전기학회논문지:시스템및제어부문D (The Transactions of the Korean Institute of Electrical Engineers D)

대한전기학회 (The Korean Institute of Electrical Engineers)
권호 표지

기동표적의 상태추정을 이용한 포의 사격통제 시스템 향상 연구

Gun fire Control System Design with Maneuvering Target State Estimates

  • 이동관 (한양대학 공대 전자전기제어계측학과) ;
  • 송택렬 (한양대학 공대 전자전기제어계측학과) ;
  • 한두희 (한양대학 공대 전자전기제어계측학과)
  • 발행 : 2006.03.01
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초록

Fire control system(FCS) errors can be classified as hardware errors, filter prediction errors, effective ballistic function errors, and aiming errors. Among these errors, the filter prediction errors are the most significant error sources. To reduce them, a target future position calculation method using the acceleration estimate is suggested and it is compared with the constant velocity target prediction method. Simulation results show that the suggested method has better performance than the constant velocity prediction method. Target tracking algorithm is established with multiple target tracking filters based on IMM structure.

키워드

참고문헌

  1. 한두희, 이동관, 송택렬, 이영주, '수치적분법을 이용한 탄도계산기법 연구,' 제5회 해상무기체계 발전 세미나, 전투체계분과 pp. 300-305, 2004년 6월
  2. R. E. Kalman, 'A new approach to linear filtering and Prediction Problems,' J. Basic Eng. Trans. on ASME, vol. 82D, pp. 35-46, Mar., 1960
  3. P. L Bogler, 'Tracking a maneuvering target using inputestimation,' IEEE Trans. on Aerospace and Electronics Systems, AES-23, pp. 298-310, May, 1987 https://doi.org/10.1109/TAES.1987.310826
  4. T. L. Song, and J. L. Speyer, 'A stochastic analysis of a modified gain extended Kalman filter with applications to estimation with bearings only measurements,' IEEE Trans. on Automatic Control, AC-30, pp. 940-949, Oct, 1985 https://doi.org/10.1109/TAC.1985.1103821
  5. X. R. Li and Y. Bar-Shalom, 'Design of interacting multiple model for air traffic control tracking,' IEEE Trans. Control System Technology, Vol. 1, No. 3. pp. 186-194, Sep., 1993 https://doi.org/10.1109/87.251886
  6. H. A. P. Blom and Y. Bar-Shalom, 'The interacting multiple model algorithm for systems with Markovian switching coefficients,' IEEE Trans. on Automatic Control, AC-33, pp. 780-783, Aug., 1988 https://doi.org/10.1109/9.1299
  7. Singer, R.A., 'Estimating optimal tracking filter performance for manned maneuvering targets,' IEEE Trans. on Aerospace and Electronics Systems, AES-6, pp. 473-483, Jul., 1970 https://doi.org/10.1109/TAES.1970.310128
  8. Berg, R.F., 'Estimation and Prediction for maneuvering target trajectories,' IEEE Trans. on Automatic Control, AC-28, pp. 294-304, Mar., 1983 https://doi.org/10.1109/TAC.1983.1103231
  9. Song, T.L., Ahn J.Y. and Park C., 'Suboptimal filter design with pseudomeasurements for target tracking.' IEEE Trans. on Aerospace and Electronic Systems, AES-24, pp. 28-39, Jan., 1988 https://doi.org/10.1109/7.1033
  10. X. Rong Li, Vesselin P. Jilkov, 'A Survey of Maneuvering Target Tracking,' Dynamic Models,' Proceeding of SPIE Conference in Signal and Data Processing of Small Targets, Orlando, FL. USA. Apr., 2000 https://doi.org/10.1117/12.391979
  11. A. Gellb, 'Applied Optimal Estnation,' MIT Press, 1974
  12. Lerro, D., and Bar-Shalom, Y., 'Tracking with debiased consistent converted measurements versus EKF,' IEEE Trans. on Aerospace and Electronics Systems, AES-24, pp. 1015-1022, Jan., 1988 https://doi.org/10.1109/7.220948
  13. Blackman, S., 'Multiple Target Tracking with Radar Applications,' Dedharm, MA: Artech House, 1986
  14. E. Daeipour and Y. Bar-Shalom, 'An Interacting Multiple Model Approach for Target Tracking with Glint Noise,' IEEE Trans. on Aerospace and Electronics Systems. AES-31, pp. 706-715, Apr., 1995 https://doi.org/10.1109/7.381918