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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