Study of Application EM Algorithm on Tracking Maneuvering Targets with Clutter

Qiao Xiang-dong; Wang Bao-shu; Li Tao; Hua Guan-wen

Volume 26 Issue 6

Jun. 2004

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Article Navigation > Journal of Electronics & Information Technology > 2004 > 26(6): 971-978

Qiao Xiang-dong, Wang Bao-shu, Li Tao, Hua Guan-wen. Study of Application EM Algorithm on Tracking Maneuvering Targets with Clutter[J]. Journal of Electronics & Information Technology, 2004, 26(6): 971-978.

Citation:

Qiao Xiang-dong, Wang Bao-shu, Li Tao, Hua Guan-wen. Study of Application EM Algorithm on Tracking Maneuvering Targets with Clutter[J]. Journal of Electronics & Information Technology, 2004, 26(6): 971-978.

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Study of Application EM Algorithm on Tracking Maneuvering Targets with Clutter

Received Date: 2002-10-07
Rev Recd Date: 2003-05-06
Publish Date: 2004-06-19

Abstract

Abstract

The EM algorithm, as an iterative numerical tool for computing maximum likelihood (or MAP) parameter estimates for incomplete data problem, has been used in area of target tracking, particularly in passive tracking and scenario in which real-time processing is unnecessary. As an extension of .Johnstons recent work, a recursive algorithm for tracking maneuvering targets in clutter, which based on AECM algorithm, is developed in this paper. In this algoritlim, model posterior probability and data association probability are computed via HMM filter respectively. Computer simulation indicates that performance of the algorithm is comparable with that of IMM-PDA, and the algorithm is valid.

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References(1)

References

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