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Analysis of Polarimetric Multistatic Human Micro-Doppler Classification of Armed/Unarmed Personnel

Fioranelli, F; Ritchie, M; Griffiths, H; (2015) Analysis of Polarimetric Multistatic Human Micro-Doppler Classification of Armed/Unarmed Personnel. In: Guerci, J and Himed, B and Abramovich, Y and Patton, L, (eds.) Proceedings of the 2015 IEEE Radar Conference (RadarCon). (pp. pp. 432-437). IEEE: Arlington, VA, USA. Green open access

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Abstract

Human micro-Doppler radar signatures have been investigated to classify different types of activities and to identify potential armed personnel in the context of security and surveillance applications. In this paper the use of multistatic micro-Doppler signatures to distinguish between unarmed and armed personnel moving is described. The effect of polarimetry on the classification accuracy is evaluated. Real radar data from a multistatic radar (NetRAD) has been analyzed as part of this work. Suitable features are extracted from the spectrograms generated from the data and then used as input to a classifier. The impact of polarization diversity on the classification performance is investigated, in particular the use of co-polarized or cross-polarized data or their multistatic combination.

Type: Proceedings paper
Title: Analysis of Polarimetric Multistatic Human Micro-Doppler Classification of Armed/Unarmed Personnel
Event: IEEE International Radar Conference (RadarCon)
Location: Arlington, VA
Dates: 10 May 2015 - 15 May 2015
ISBN-13: 9781479982325
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/RADAR.2015.7131038
Publisher version: http://dx.doi.org/10.1109/RADAR.2015.7131038
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Science & technology, technology, physical sciences, engineering, electrical & electronic, physics, applied, telecommunications, engineering, physics, radar, micro-doppler signatures, multistatic time-frequency analysis, classification, radar, signatures, targets.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/1471511
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