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Personnel recognition based on multistatic micro-Doppler and singular value decomposition features

Fioranelli, F; Ritchie, M; Griffiths, H; (2015) Personnel recognition based on multistatic micro-Doppler and singular value decomposition features. [Letter]. Electronic Letters 10.1049/el.2015.3513. Green open access

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Abstract

The use of micro-Doppler signatures experimentally collected by a multistatic radar system to recognise and classify different people walking is discussed. A suitable feature based on singular value decomposition of the spectrograms is proposed and tested with different types of classifiers. It is shown that high accuracy of between 97 and 99% can be achieved when multistatic data are used to perform the classification.

Type: Article
Title: Personnel recognition based on multistatic micro-Doppler and singular value decomposition features
Open access status: An open access version is available from UCL Discovery
DOI: 10.1049/el.2015.3513
Publisher version: http://dx.doi.org/10.1049/el.2015.3513
Language: English
Additional information: This paper is a postprint of a paper submitted to and accepted for publication in Electronics Letters and is subject to Institution of Engineering and Technology Copyright. The copy of record is available at IET Digital Library.
UCL classification: UCL
UCL > Provost and Vice Provost Offices
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/1472517
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