Referenced Items are not available for this document.
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
- Page(s):
- 890 - 895 vol.2
- Meeting Date :
- 14 Jul 1997-17 Jul 1997
- Print ISBN:
- 0-7803-3725-5
- INSPEC Accession Number:
- 5786633
- Conference Location :
- Dayton, OH
- Digital Object Identifier :
- 10.1109/NAECON.1997.622746
- Product Type:
- Conference Publications
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