A comparison of multiple model filters for maneuvering target tracking

Proposes a maneuvering target tracking algorithm using multiple model filters. This filtering algorithm is discussed in terms of tracking performance, tracking success rate and tracking accuracies for short sampling interval as compared with other conventional methodologies. Through several simulations, validity of this algorithm has been confirmed.

[1]  Y. Kosuge,et al.  Evaluation of tracking filter performance for maneuvering targets in dense environment , 1995, SICE '95. Proceedings of the 34th SICE Annual Conference. International Session Papers.

[2]  Y. Bar-Shalom,et al.  The interacting multiple model algorithm for systems with Markovian switching coefficients , 1988 .

[4]  Y. Bar-Shalom,et al.  Multisensor tracking of a maneuvering target in clutter , 1989 .

[5]  Yoshio Kosuge,et al.  Maneuvering target tracking using constant velocity and constant angular velocity model , 2000, Smc 2000 conference proceedings. 2000 ieee international conference on systems, man and cybernetics. 'cybernetics evolving to systems, humans, organizations, and their complex interactions' (cat. no.0.

[6]  A. Graziano,et al.  IMMJPDA versus MHT and Kalman filter with NN correlation: performance comparison , 1997 .

[7]  Y. Kosuge Maneuvering target tracking using multiple maneuver model joint probabilistic data association , 1991, Proceedings IECON '91: 1991 International Conference on Industrial Electronics, Control and Instrumentation.