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Guldogan, Mehmet Burak
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Publications (2 of 2) Show all publications
Burak Guldogan, M., Orguner, U. & Gustafsson, F. (2012). Gaussian mixture PHD filter for multi-target tracking using passive doppler-only measurements. In: IET Conference Publications: vol 2012, issue 595 CP. Paper presented at Data Fusion & Target Tracking Conference (DF&TT 2012): 16-17 May 2012,London, UK (pp. 1-6). IEEE conference proceedings, 2012(595 CP)
Open this publication in new window or tab >>Gaussian mixture PHD filter for multi-target tracking using passive doppler-only measurements
2012 (English)In: IET Conference Publications: vol 2012, issue 595 CP, IEEE conference proceedings, 2012, Vol. 2012, no 595 CP, p. 1-6Conference paper, Published paper (Refereed)
Abstract [en]

In this paper, we analyze the performance of the Gaussian mixture probability hypothesis density (GM-PHD) filter in tracking multiple non-cooperative targets using a passive sensor network. Non-cooperative transmissions from illuminators of opportunity like GSM base stations, FM radio transmitters or digital broadcasters are exploited by non-directional separately located Doppler measuring sensors. Clutter, missed detections and multi-static Doppler variances are incorporated into a realistic multi-target scenario. Simulation results show that the GM-PHD filter successfully tracks multiple targets using only Doppler shift measurements in a passive multi-static scenario.

Place, publisher, year, edition, pages
IEEE conference proceedings, 2012
Series
IET Conference Publications
Keywords
Doppler measurements; Gaussian mixture probability hypothesis density filter; Multi-target tracking; Random sets
National Category
Engineering and Technology
Identifiers
urn:nbn:se:liu:diva-101132 (URN)10.1049/cp.2012.0417 (DOI)E-ISBN: 978-1-84919-624-6 (ISBN)
Conference
Data Fusion & Target Tracking Conference (DF&TT 2012): 16-17 May 2012,London, UK
Available from: 2013-11-20 Created: 2013-11-19 Last updated: 2013-11-20
Guldogan, M. B., Gustafsson, F., Orguner, U., Björklund, S., Petersson, H. & Nezirovic, A. (2011). Human gait parameter estimation based on micro-doppler signatures using particle filters. In: Acoustics, Speech and Signal Processing (ICASSP), 2011: . Paper presented at IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2011), 22-27 May 2011, Prague, Czech Republic (pp. 5940-5943). IEEE
Open this publication in new window or tab >>Human gait parameter estimation based on micro-doppler signatures using particle filters
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2011 (English)In: Acoustics, Speech and Signal Processing (ICASSP), 2011, IEEE , 2011, p. 5940-5943Conference paper, Published paper (Refereed)
Abstract [en]

Monitoring and tracking human activities around restricted areas is an important issue in security and surveillance applications. The movement of different parts of the human body generates unique micro-Doppler features which can be extracted effectively using joint time-frequency analysis. In this paper, we describe the simultaneous tracking of both location and micro-Doppler features of a human using particle filters (PF). The results obtained using the data from a 77 GHz radar prove the successful usage of particle filters in tracking micro-Doppler features of the human gait.

Place, publisher, year, edition, pages
IEEE, 2011
Series
IEEE International Conference on Acoustics, Speech and Signal Processing. Proceedings, ISSN 1520-6149
Keywords
human gait analysis; micro-Doppler; particle filters (PF); radar
National Category
Engineering and Technology
Identifiers
urn:nbn:se:liu:diva-73374 (URN)10.1109/ICASSP.2011.5947714 (DOI)000296062406162 ()978-1-4577-0538-0 (ISBN)978-1-4577-0537-3 (ISBN)
Conference
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2011), 22-27 May 2011, Prague, Czech Republic
Available from: 2012-01-02 Created: 2012-01-02 Last updated: 2013-09-19Bibliographically approved
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