International Journal of Intelligent Systems and Applications (IJISA)
IJISA Vol. 1, No. 1, 8 Oct. 2009
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Track Processing Approach for Bearing-Only Target Tracking
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Index Terms
Data association, multi-model filter, bearing-only tracking, passive sensor, targets
Abstract
This paper mainly studies angle-measurement based track processing approach to overcome the existing problems in the applications of traditional approaches for bearing-only target locating and tracking system. First, this paper gives suited data association algorithms including track initiation and point-track association. Moreover, a new tracking filtering association gate method is presented through analysis of the target motion characteristics in polar coordinates for improving bearing-only measurement confirming efficiency of real target and limiting false track overextension with the dense clutter. Then, by analyzing the feasibility of using multi-model technology, the IMM is adopt as filtering algorithm to solve existing problem in bearing-only tracking for complicated target motion in two dimensional angle plane. As the results, the two dimensional bearing-only tracking accuracy of real target is improved and false tracking is greatly limited. Moreover, computation cost of IMM is analyzed in view of the real-time demand of bearing-only tracking. Finally, this paper gives some concrete summary of multi-model choosing principle. The application of the proposed approach in a simulation system proves its effectiveness and practicability.
Cite This Paper
Hui Chen, Chen Li,"Track Processing Approach for Bearing-Only Target Tracking", International Journal of Intelligent Systems and Applications(IJISA), vol.1, no.1, pp.50-59, 2009. DOI: 10.5815/ijisa.2009.01.06
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