access icon free 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.

Inspec keywords: image classification; object recognition; radar imaging; Doppler radar; singular value decomposition

Other keywords: singular value decomposition feature; microDoppler signatures; people walking recognition; multistatic microDoppler feature; personnel recognition; multistatic radar system; spectrograms; people walking classification

Subjects: Computer vision and image processing techniques; Algebra; Radar equipment, systems and applications; Image recognition; Algebra

References

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Correspondence
This article has following corresponding article(s):
a familiar walk