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

Fioranelli, F. , Griffiths, H. and Ritchie, M. (2015) Personnel recognition based on multistatic micro-Doppler and singular value decomposition features. Electronics Letters, 51(25), pp. 2143-2145. (doi:10.1049/el.2015.3513)

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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.

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Fioranelli, Dr Francesco
Authors: Fioranelli, F., Griffiths, H., and Ritchie, M.
College/School:College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering
Journal Name:Electronics Letters
Publisher:Institution of Engineering and Technology
ISSN:0013-5194
ISSN (Online):1350-911X
Published Online:12 November 2015
Copyright Holders:Copyright © 2015 The Institution of Engineering and Technology
First Published:First published in Electronics Letters 51(25): 2143-2145
Publisher Policy:Reproduced in accordance with the publisher copyright policy

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