Micro-Doppler signature based target recognition using covariance based S-transform

Please use this identifier to cite or link to this item: http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/8943

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DC Field	Value	Language
dc.contributor.author	Shubham, Abhinav	-
dc.contributor.author	Sharma, Sunil Datt	-
dc.date.accessioned	2023-01-04T10:27:02Z	-
dc.date.available	2023-01-04T10:27:02Z	-
dc.date.issued	2021	-
dc.identifier.uri	http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/8943	-
dc.description.abstract	Micro-Doppler signature analysis play an important role for target recognition such as fixed- target, vibrating target, moving human, vehicular motion, etc. Therefore, various signal processing based methods are reported for target recognition. Recently, Short time Fourier transform (STFT), has been applied for target recognition. In this work, we have applied Covariance based S-transform for analysis of fixed target, vibrating target. Also, the performance of Covariance based S-transform method has been compared with STFT.	en_US
dc.language.iso	en	en_US
dc.publisher	Jaypee University of Information Technology, Solan, H.P.	en_US
dc.subject	Micro-Doppler Signature	en_US
dc.subject	Spectrogram	en_US
dc.subject	STFT	en_US
dc.subject	S-Transform	en_US
dc.title	Micro-Doppler signature based target recognition using covariance based S-transform	en_US
dc.type	Article	en_US
Appears in Collections:	Journal Articles

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