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      A Radar Multi-target Tracking Algorithm Based on Gaussian Mixture PHD Filter under Doppler Blind Zone

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          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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          Author and article information

          Journal
          Journal of Radars
          Chinese Academy of Sciences
          01 February 2017
          : 6
          : 1
          : 34-42
          Affiliations
          [1 ] ①(Electronics Engineering College, Naval University of Engineering, Wuhan 430033, China) ②(Air Force Early Warning Academy, Wuhan 430019, China)
          [2 ] ①(Electronics Engineering College, Naval University of Engineering, Wuhan 430033, China)
          Article
          66fc2798b5014b0082d9d9444560d698
          10.12000/JR16125

          This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

          Categories
          Technology (General)
          T1-995

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