Classification of unarmed/armed personnel using the NetRAD multistatic radar for micro-Doppler and singular value decomposition features

Fioranelli, F. , Ritchie, M. and Griffiths, H. (2015) Classification of unarmed/armed personnel using the NetRAD multistatic radar for micro-Doppler and singular value decomposition features. IEEE Geoscience and Remote Sensing Letters, 12(9), pp. 1933-1937. (doi:10.1109/LGRS.2015.2439393)

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Abstract

In this letter, we present the use of experimental human micro-Doppler signature data gathered by a multistatic radar system to discriminate between unarmed and potentially armed personnel walking along different trajectories. Different ways of extracting suitable features from the spectrograms of the micro-Doppler signatures are discussed, particularly empirical features such as Doppler bandwidth, periodicity, and others, and features extracted from singular value decomposition (SVD) vectors. High classification accuracy of armed versus unarmed personnel (between 90% and 97% depending on the walking trajectory of the people) can be achieved with a single SVD-based feature, in comparison with using four empirical features. The impact on classification performance of different aspect angles and the benefit of combining multistatic information is also evaluated in this letter.

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Fioranelli, Dr Francesco
Authors: Fioranelli, F., Ritchie, M., and Griffiths, H.
College/School:College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering
Journal Name:IEEE Geoscience and Remote Sensing Letters
Publisher:IEEE
ISSN:1545-598X
ISSN (Online):1558-0571
Published Online:12 June 2015
Copyright Holders:Copyright © 2015 IEEE
First Published:First published in IEEE Geoscience and Remote Sensing Letters 12(9): 1933-1937
Publisher Policy:Reproduced in accordance with the publisher copyright policy

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