Maneuvering Target Tracking Algorithm with Multiple Passive Sensors in Clutter Environment

Li Liang-qun; Ji Hong-bing; Luo Jun-hui

doi:10.3724/SP.J.1146.2006.00015

Volume 29 Issue 8

Jan. 2011

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Article Navigation > Journal of Electronics & Information Technology > 2007 > 29(8): 1837-1840

Li Liang-qun, Ji Hong-bing, Luo Jun-hui. Maneuvering Target Tracking Algorithm with Multiple Passive Sensors in Clutter Environment[J]. Journal of Electronics & Information Technology, 2007, 29(8): 1837-1840. doi: 10.3724/SP.J.1146.2006.00015

Citation:

Li Liang-qun, Ji Hong-bing, Luo Jun-hui. Maneuvering Target Tracking Algorithm with Multiple Passive Sensors in Clutter Environment[J]. Journal of Electronics & Information Technology, 2007, 29(8): 1837-1840. doi: 10.3724/SP.J.1146.2006.00015

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Maneuvering Target Tracking Algorithm with Multiple Passive Sensors in Clutter Environment

doi: 10.3724/SP.J.1146.2006.00015

Received Date: 2006-01-04
Rev Recd Date: 2006-08-21
Publish Date: 2007-08-19

Abstract

Abstract

To maneuvering target tracking with multiple passive sensors in clutter environment, a novel algorithm based on particle filter is proposed. In this algorithm, the likelihood function of particle filter in clutter is derived. Then the particle filter and Interactive Multiple Model (IMM) method are integrated. The former solves the proplem of passive target manoeuvre and the latter deals with the nonlinear problem of the measurement equation. In order to avoid the unobservability problem of passive target tracking, a nonlinear measurement model of multiple passive sensors is founded, and the algorithm can deal with the case of non-gaussian noise. Finally, the simulation results show that the proposed algorithm is effective, and its performance is superiority over the interacting multiple model-probabilistic data association filter (IMM-PDAF).

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References(1)

References

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