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Volume 24 Issue 5
 
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Article Navigation >  Journal of Unmanned Undersea Systems  > 2016  >  24(5): 334-339
CHEN Xiao, LI Ya-an, YU Jing. A Method of Target Tracking Data Association in Sea Clutter Background[J]. Journal of Unmanned Undersea Systems, 2016, 24(5): 334-339. doi: 10.11993/j.issn.1673-1948.2016.05.004
Citation: CHEN Xiao, LI Ya-an, YU Jing. A Method of Target Tracking Data Association in Sea Clutter Background[J]. Journal of Unmanned Undersea Systems, 2016, 24(5): 334-339. doi: 10.11993/j.issn.1673-1948.2016.05.004
shu

A Method of Target Tracking Data Association in Sea Clutter Background

doi: 10.11993/j.issn.1673-1948.2016.05.004

  • School of Marine Science and Technology, Northwestern Polytechnical University, Xi′an 710072, China

  • Received Date: 2016-06-29
  • Rev Recd Date: 2016-07-22
  • Publish Date: 2016-10-20
    Abstract
  • The problem of surface ship target tracking in strong sea clutter environment is theoretically analyzed and simu-lated by employing the nearest neighbor filter(NNF) algorithm and the probabilistic data association filter(PDAF) algorithm. Based on the PDAF algorithm, the concept of twice-weighted distance is introduced for the dense sea clutter environment to improve the correlation probability value calculation method of the existing PDAF algorithm, and the single target tracking in the sea clutter environment with different densities is simulated. Simulation results show that the improved algorithm can improve the tracking performance in dense sea clutter environment, hence realize the non-maneuvering target tracking more effectively and reliably. This research may provide reference for accurate tracking of surface ship targets in sea clutter background.

     

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    • References(15)
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