Open AccessPersonnel recognition based on multistatic micro‐Doppler and singular value decomposition features
Author(s) -
Fioranelli F.,
Ritchie M.,
Griffiths H.
Publication year - 2015
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
eISSN - 1350-911X
pISSN - 0013-5194
DOI - 10.1049/el.2015.3513
Subject(s) - spectrogram , singular value decomposition , multistatic radar , doppler radar , radar , pattern recognition (psychology) , artificial intelligence , feature (linguistics) , doppler effect , decomposition , computer science , remote sensing , radar imaging , bistatic radar , geography , telecommunications , physics , linguistics , philosophy , astronomy , biology , ecology
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.