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 |
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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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