论文信息 - Personnel recognition based on multistatic micro-Doppler and singular value decomposition features

Personnel recognition based on multistatic micro-Doppler and singular value decomposition features

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.

Francesco Fioranelli | Hugh Griffiths | Matthew Ritchie

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