PHD Filter for Multi-radar Multi-target Tracking

被引：0

作者：

Tian, Shurong ^{[1
]}

Sun, Xiaoshu ^{[2
]}

Sun, Xijing ^{[1
]}

机构：

[1] Naval Aeronaut & Astronaut Univ, Res Inst Syst Sci & Math, Yantai, Peoples R China

[2] Naval Aeronaut & Astronaut Univ, Dept Sci Res, Yantai, Peoples R China

来源：

RESOURCES AND SUSTAINABLE DEVELOPMENT, PTS 1-4 | 2013年 / 734-737卷

关键词：

multi-target tracking; PHD filter; multi-radar; particle filter;

D O I：

10.4028/www.scientific.net/AMR.734-737.2730

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Target tracking with multiple radars is more efficient than tracking with one radar. In this paper, a multi-radar tracking system is proposed even when targets are occluded at radars. Observations from all radars are composed, then, Probability Hypothesis Density(PHD) filter is used to estimate the multi-target state and the number at each time step. PHD particle filter implementation is used to perform the proposed method consisting of multiple mameuvering targets.

引用

页码：2730 / +

页数：2