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

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.

Journal

Title: Journal of Radars

Publisher: Chinese Academy of Sciences

Publication date (Electronic): 01 February 2017

Volume: 6

Issue: 1

Pages: 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

Doaj ID: 66fc2798b5014b0082d9d9444560d698

DOI: 10.12000/JR16125

License:

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/

Product

Self URI: http://radars.ie.ac.cn/CN/html/20170105.htm

Self URI (journal page): http://radars.ie.ac.cn/EN/volumn/home.shtml

Categories

Subject: Technology (General)

Subject: T1-995