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Proceedings Paper

An estimating algorithm for highly maneuvering target tracking
Author(s): Dan Li; Lei Ding
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Paper Abstract

A novel estimating method for highly-maneuvering target tracking using the Interacting Multiple-Model (IMM) algorithm with Kalman Filter (KF) based on "current" statistical model is presented in this paper. The IMM algorithm remedies the shortcoming of narrow coverage and poor generality of utilizing the single dynamic model to realize the precision tracking. Since the "current" statistical model of the proposed method can estimate the acceleration from all available online information, adaptability of IMM algorithm can be enhanced. For evaluating the performance of the novel algorithm, two highly-maneuvering motions scenarios are included. Results of the simulation validated the superiority of the IMM algorithm .The Root Mean-Square Error (RMSE) for position and acceleration estimating by using the proposed method is lower than the traditional IMM method. And the performance is evidently better than the traditional KF algorithm based on single dynamic model.

Paper Details

Date Published: 5 August 2009
PDF: 8 pages
Proc. SPIE 7383, International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Infrared Imaging and Applications, 73834H (5 August 2009); doi: 10.1117/12.835551
Show Author Affiliations
Dan Li, Shanghai Institute of Technical Physics (China)
Lei Ding, Shanghai Institute of Technical Physics (China)


Published in SPIE Proceedings Vol. 7383:
International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Infrared Imaging and Applications
Jeffery Puschell; Hai-mei Gong; Yi Cai; Jin Lu; Jin-dong Fei, Editor(s)

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