DocumentCode :
3612318
Title :
Personnel recognition based on multistatic micro-Doppler and singular value decomposition features
Author :
Fioranelli, F. ; Ritchie, M. ; Griffiths, H.
Author_Institution :
Dept. of Electron. & Electr. Eng., Univ. Coll. London, London, UK
Volume :
51
Issue :
25
fYear :
2015
Firstpage :
2143
Lastpage :
2145
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.
Keywords :
Doppler radar; image classification; object recognition; radar imaging; singular value decomposition; microDoppler signatures; multistatic microDoppler feature; multistatic radar system; people walking classification; people walking recognition; personnel recognition; singular value decomposition feature; spectrograms;
fLanguage :
English
Journal_Title :
Electronics Letters
Publisher :
iet
ISSN :
0013-5194
Type :
jour
DOI :
10.1049/el.2015.3513
Filename :
7355503
Link To Document :
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