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

被引：42
|
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
收藏
页码：2227 / 2237
页数：11
相关论文
共 50 条
  • [31] Gaussian Mixture Particle Jump-Markov-CPHD Fusion for Multitarget Tracking Using Sensors With Limited Views
    Da, Kai
    Li, Tiancheng
    Zhu, Yongfeng
    Fu, Qiang
    IEEE TRANSACTIONS ON SIGNAL AND INFORMATION PROCESSING OVER NETWORKS, 2020, 6 : 605 - 616
  • [32] Target Tracking Algorithm Based on Generalized Regression Neural Network for Passive Bistatic Radar
    Xu, Baoxiong
    Yi, Jianxin
    Wan, Xianrong
    Cheng, Feng
    IEEE SENSORS JOURNAL, 2023, 23 (10) : 10776 - 10789
  • [33] Joint Dwell Time and Bandwidth Optimization for Multi-Target Tracking in Radar Network Based on Low Probability of Intercept
    Ding, Lintao
    Shi, Chenguang
    Qiu, Wei
    Zhou, Jianjiang
    SENSORS, 2020, 20 (05)
  • [34] Automotive Radar Modeling for Virtual Simulation Based on Mixture Density Network
    Li, Hexuan
    Kanuric, Tarik
    Eichberger, Arno
    IEEE SENSORS JOURNAL, 2023, 23 (11) : 11117 - 11124
  • [35] GM-PHD Filter based Multi-target Tracking Method for Radar and Monocular Camera
    Zhou, Doing
    Cen, Ming
    Zhang, Yi
    Li, Yinguo
    PROCEEDINGS OF THE 33RD CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2021), 2021, : 7150 - 7155
  • [36] Robust Multitarget Tracking Scheme Based on Gaussian Mixture Probability Hypothesis Density Filter
    Choi, Mid-Eum
    Seo, Seung-Woo
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2016, 65 (06) : 4217 - 4229
  • [37] Adaptive resource management algorithm for target tracking in radar network based on low probability of intercept
    Shi, Chenguang
    Zhou, Jianjiang
    Wang, Fei
    MULTIDIMENSIONAL SYSTEMS AND SIGNAL PROCESSING, 2018, 29 (04) : 1203 - 1226
  • [38] Semidefinite programming-based localisation and tracking algorithm using Gaussian mixture modelling
    Zhang, Yueyue
    Zhu, Yaping
    Xia, Weiwei
    Yan, Feng
    Shen, Lianfeng
    IET COMMUNICATIONS, 2017, 11 (16) : 2514 - 2523
  • [39] Tracking of Maneuvering Extended Object Using High-Resolution Radar Based on Improved Gaussian Processes with Adaptive Contouring
    Sun, Lifan
    Xu, Liyang
    Gao, Dan
    INTERNATIONAL JOURNAL OF AERONAUTICAL AND SPACE SCIENCES, 2025,
  • [40] Adaptive resource management algorithm for target tracking in radar network based on low probability of intercept
    Chenguang Shi
    Jianjiang Zhou
    Fei Wang
    Multidimensional Systems and Signal Processing, 2018, 29 : 1203 - 1226
12345