The Activation-Only VSIMM Algorithm for Maneuvering Target Tracking

기동표적 추적을 위한 Activation-Only VSIMM

  • Published : 2002.09.01

Abstract

This paper suggests the activation-only VSIMM estimator, applied mainly to target tracking problems. This algorithm is much simpler and easier to implement than the ordinary VSIMM algorithm. Also the activation-only VSIMM algorithm provides a substantial reduction in computation while having identical performance with the ordinary VSIMM estimator and the FSIMM estimator. More importantly, the drawbacks related to the improper termination and activation inherent to the VSIMM algorithm are eliminated in this algorithm. The performance of this estimator will be shown through a Monte Carlo simulation for maneuvering target tracking in comparison with the FSIMM and the VSIMM.

Keywords

References

  1. Magill, D.T., 'Optimal adaptive estimation of sampled stochastic processes,' IEEE Trans. Automat. Contr. Vol 10, pp. 434-439, 1965 https://doi.org/10.1109/TAC.1965.1098191
  2. Bar-Shalom, Y. and Li, X. R, 'Estimation and Tracking : Principles, Techniques and Software,' Boston, MA : Artech House 1993
  3. Maybeck, P. S. and Halon, P. D., ' Performance enhancement of multiple model adaptive estimator,' IEEE Trans. AES, AES-31, pp1240-1254. Oct 1995 https://doi.org/10.1109/7.464348
  4. Blom, H.A.P. and Bar-Shalom, Y, 'The interacting multiple model algorithm for systems with Markovian switching coefficients,'IEEE Trans. Automat. Contr. Vol 33, pp 780-783, Aug 1988 https://doi.org/10.1109/9.1299
  5. Li, X. R. and Bar-Shalom, Y., 'Design of an interacting multiple model algorithm for air traffic control tracking,' IEEE Transaction on control Techonology, Vol. 1, pp186-196, Sep, 1993 https://doi.org/10.1109/87.251886
  6. Li, X. R and Bar-Shalom, Y. 'A recursive multiple model approach to noise identification,' IEEE Transactions on Aerospace and Electric Systems, AES- 30, pp671-683, Jul. 1994 https://doi.org/10.1109/7.303738
  7. Daeipour, E. and Bar-Shalom, Y. 'An intreacting multiple model approach for target tracking with glint noise,' IEEE Transaction on Aerospace and Electronic Systems, AES-31, pp706-715. Apr. 1995 https://doi.org/10.1109/7.381918
  8. Li, X. R. and Bar-shalom, Y., 'MM estimation with variable structure,' IEEE Trans. Automat. Contr. Vol 41, pp. 478-493, Apr 1996 https://doi.org/10.1109/9.489270
  9. Li, X. R., 'Mode-set adaptation in multiple-model estimators for hybrid systems,' in Proc. 1992 Amer. Control. Conf, Chicago, IL, pp. 1794-1799, June 1992
  10. Li, X. R., 'Multiple-Model estimation with variable structure: some theoretical considerations,' In Proc 33rd IEEE Conf. Decision and Control, Orlando, FL, pp. 1199-1204, Dec 1994 https://doi.org/10.1109/CDC.1994.411169
  11. Li, X. R., 'Multiple-model estimation with variable structure-Part II: Model-set Adaptation,'IEEE Trans. Automat. Contr. Vol 45, pp. 2047-2060, Nov 2000 https://doi.org/10.1109/9.887626
  12. Li, X. R. and Zhi, X. R. and Zhang, Y. M., 'Multiple-model estimation with variable structure Part III : Model-group switching algorithm,' IEEE Transactions on Aerospace and Electronic Systems.Vol 35, pp.225-241, Jan 1999 https://doi.org/10.1109/7.745694
  13. Li, X. R. and Zhi, X. R. and Zhang, Y. M., 'Multiple-model estimation with variable structure Part IV : Design and Evaluating of Model- Group Switching Algorithm,'IEEE Transactions on erospace and Electronic Systems, Vol. 35, pp.242-254, Jan 1999 https://doi.org/10.1109/7.745695