Multiperson Tracking With a Network of Ultrawideband Radar Sensors Based on Gaussian Mixture PHD Filters
| dc.authorid | Gulmezoglu, Berk/0000-0001-6268-6325 | |
| dc.contributor.author | Gulmezoglu, Berk | |
| dc.contributor.author | Guldogan, Mehmet Burak | |
| dc.contributor.author | Gezici, Sinan | |
| dc.date.accessioned | 2025-10-24T18:09:21Z | |
| dc.date.available | 2025-10-24T18:09:21Z | |
| dc.date.issued | 2015 | |
| dc.department | Malatya Turgut Özal Üniversitesi | |
| dc.description.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. | |
| dc.description.sponsorship | Turk Telekom [3015-02]; European Commission [318306]; Distinguished Young Scientist Award through the Turkish Academy of Sciences | |
| dc.description.sponsorship | This work was supported in part by the Turk Telekom under Project 3015-02, and in part by the European Commission within the framework of the FP7 Network of Excellence in Wireless COMmunications # under Contract 318306. The work of S. Gezici was supported by the Distinguished Young Scientist Award through the Turkish Academy of Sciences under Grant TUBA-GEBIP 2013. The associate editor coordinating the review of this paper and approving it for publication was Dr. Lorenzo Lo Monte. | |
| dc.identifier.doi | 10.1109/JSEN.2014.2372312 | |
| dc.identifier.endpage | 2237 | |
| dc.identifier.issn | 1530-437X | |
| dc.identifier.issn | 1558-1748 | |
| dc.identifier.issue | 4 | |
| dc.identifier.scopus | 2-s2.0-84923870803 | |
| dc.identifier.scopusquality | Q1 | |
| dc.identifier.startpage | 2227 | |
| dc.identifier.uri | https://doi.org/10.1109/JSEN.2014.2372312 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12899/3587 | |
| dc.identifier.volume | 15 | |
| dc.identifier.wos | WOS:000349622800009 | |
| dc.identifier.wosquality | Q2 | |
| dc.indekslendigikaynak | Web of Science | |
| dc.indekslendigikaynak | Scopus | |
| dc.language.iso | en | |
| dc.publisher | Ieee-Inst Electrical Electronics Engineers Inc | |
| dc.relation.ispartof | Ieee Sensors Journal | |
| dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | |
| dc.rights | info:eu-repo/semantics/closedAccess | |
| dc.snmz | KA_20251023 | |
| dc.subject | Multiple person detection; target tracking; PHD filter; ultra-wideband; radar | |
| dc.title | Multiperson Tracking With a Network of Ultrawideband Radar Sensors Based on Gaussian Mixture PHD Filters | |
| dc.type | Article | 












