Multiperson Tracking With a Network of Ultrawideband Radar Sensors Based on Gaussian Mixture PHD Filters

被引：44

作者：

Gulmezoglu, Berk ^{[1
]}

Guldogan, Mehmet Burak ^{[2
]}

Gezici, Sinan ^{[3
]}

机构：

[1] Worcester Polytech Inst, Dept Elect & Comp Engn, Worcester, MA 01609 USA

[2] Turgut Ozal Univ, Dept Elect & Elect Engn, TR-06010 Ankara, Turkey

[3] Bilkent Univ, Dept Elect & Elect Engn, TR-06800 Ankara, Turkey

来源：

IEEE SENSORS JOURNAL | 2015年 / 15卷 / 04期

关键词：

Multiple person detection; target tracking; PHD filter; ultra-wideband; radar; MULTITARGET TRACKING; TARGET TRACKING; UWB;

D O I：

10.1109/JSEN.2014.2372312

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this paper, we investigate the use of Gaussian mixture probability hypothesis density filters for multiple person tracking using ultrawideband (UWB) radar sensors in an indoor environment. An experimental setup consisting of a network of UWB radar sensors and a computer is designed, and a new detection algorithm is proposed. The results of this experimental proof-of-concept study show that it is possible to accurately track multiple targets using a UWB radar sensor network in indoor environments based on the proposed approach.

引用

页码：2227 / 2237

页数：11

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