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.
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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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