Personnel recognition based on multistatic micro‐Doppler and singular value decomposition features | Zendy

Fioranelli F. | Zendy; Ritchie M. | Zendy; Griffiths H. | Zendy

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Personnel 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) - singular value decomposition , doppler effect , decomposition , computer science , speech recognition , value (mathematics) , pattern recognition (psychology) , artificial intelligence , acoustics , machine learning , physics , ecology , astronomy , biology

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.

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