Volume 6 Issue 1
Apr.  2017
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Wei Qiang, Liu Zhong. A Radar Multi-target Tracking Algorithm Based on Gaussian Mixture PHD Filter under Doppler Blind Zone[J]. Journal of Radars, 2017, 6(1): 34-42. doi: 10.12000/JR16125
Citation: Wei Qiang, Liu Zhong. A Radar Multi-target Tracking Algorithm Based on Gaussian Mixture PHD Filter under Doppler Blind Zone[J]. Journal of Radars, 2017, 6(1): 34-42. doi: 10.12000/JR16125
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A Radar Multi-target Tracking Algorithm Based on Gaussian Mixture PHD Filter under Doppler Blind Zone

DOI: 10.12000/JR16125 CSTR: 32380.14.JR16125
  • ①.

    Electronics Engineering College,Naval University of Engineering,Wuhan 430033,China

  • ②.

    Air Force Early Warning Academy,Wuhan 430019,China

Funds:  The National Ministries Foundation
  • Received Date: 2016-11-10
  • Rev Recd Date: 2017-01-10
    • Available Online: 2017-03-15
  • Publish Date: 2017-02-28
    Abstract
  • Due to the Doppler Blind Zone (DBZ), the target tracking of Doppler radar becomes more and more complicated. In this paper, a multi-target tracking algorithm based on Gaussian Mixture Probability Hypothesis Density (GM-PHD) for DBZ is proposed. The algorithm introduces the Minimum Detectable Velocity (MDV) information to the traditional detection probability model to update the GM-PHD and the updated equation of the GM-PHD is deduced. The simulation results show that, compared to the traditional GM-PHD with the only Doppler measurement, the proposed algorithm improves greatly the radar tracking performance of moving target under the condition of minor MDV.

     

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