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

Author

Gulmezoglu, Berk ; Guldogan, Mehmet Burak ; Gezici, Sinan

Author_Institution

Dept. of Electr. & Comput. Eng., Worcester Polytech. Inst., Worcester, MA, USA

Volume

15

Issue

4

fYear

2015

fDate

Apr-15

Firstpage

2227

Lastpage

2237

Abstract

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.

Keywords

Gaussian processes; indoor radio; mixture models; target tracking; ultra wideband radar; wireless sensor networks; Gaussian mixture PHD filters; Gaussian mixture probability hypothesis density filters; indoor environment; multiperson tracking; ultrawideband radar sensors; wireless sensor networks; Indoor environments; Radar tracking; Receivers; Sensors; Target tracking; Time measurement; Ultra wideband radar; Multiple person detection; PHD filter; radar; target tracking; ultra-wideband;

fLanguage

English

Journal_Title

Sensors Journal, IEEE

Publisher

ieee

ISSN

1530-437X

Type

jour

DOI

10.1109/JSEN.2014.2372312

Filename

6963274