Study on Track and Detect Algorithm in Radar Networking Based on GMPHD

Authors

Wenbo Zhao, Amy Officer Academy of PLA, Hefei 230031, China;
Hailong Ding, Amy Officer Academy of PLA, Hefei 230031, China;

Abstract

Abstract: The states and number of WSNR multi-target are tracked accurately by Gaussian mixture probability hypothesis density algorithm (GMPHDA) application. But tracking result is random set of target states, it doesn't correspond one to one with real targets. And the complete algorithm about corresponding has not been proposed. To get target tracks corresponding with real targets, a suite of algorithm about identifying target tracks is proposed, called track identification algorithm, which contains track distinction, continuance, newborn and restoration. The track identification algorithm improves track and detect algorithm in multi-radar networking. Simulation results show that WSNR multi-target is tracked in multi-radar networking, which gets target tracks corresponding one to one with real targets by the proposed identification algorithm.

Recommended Citation

Zhao, Wenbo and Ding, Hailong (2020) "Study on Track and Detect Algorithm in Radar Networking Based on GMPHD," Journal of System Simulation: Vol. 28: Iss. 11, Article 23.
DOI: 10.16182/j.issn1004731x.joss.201611023
Available at: https://dc-china-simulation.researchcommons.org/journal/vol28/iss11/23

First Page

2804

Revised Date

2015-06-03

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.201611023

Last Page

2812

CLC

TN953

Recommended Citation

Zhao Wenbo, Ding Hailong. Study on Track and Detect Algorithm in Radar Networking Based on GMPHD[J]. Journal of System Simulation, 2016, 28(11): 2804-2812.

DOI

10.16182/j.issn1004731x.joss.201611023