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Maneuvering target tracking with non-Gaussian noise

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2 Author(s)
Song Xiaoquan ; Inst. of Electron. Eng., Nat. Univ. of Defense Technol., Hunan, China ; Sun Zhongkang

Tracking a maneuvering target in a nonlinear interference environment has been discussed in some literature, and this paper considers the problems of tracking in the non-Gaussian noise environment and then tracking with multiple passive sensors. The method of target state estimation in this paper is a dynamic programming approach. Unlike the traditional method, the estimating problem is reduced to a multiple hypothesis-testing problem, and then is solved by using the dynamic programming algorithm. The simulation results show the superiority of the new method to EKF

Published in:

Aerospace and Electronics Conference, 1997. NAECON 1997., Proceedings of the IEEE 1997 National  (Volume:2 )

Date of Conference:

14-18 Jul 1997