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Individual classification through autoregressive modelling of micro-doppler signatures
2012 IEEE Biomedical Circuits and Systems Conference (BioCAS), 2012This paper introduces the use of autoregressive modelling (AR) to characterize individual human gait signatures from micro-Doppler data. AR models are fitted to micro-Doppler data obtained while 6 subjects walk towards a custom-made ultrasonic transceiver module. The estimated AR coefficients capture individual movement characteristics.
Garreau, G. +5 more
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Micro-Doppler signatures for sensing micro-motion
2019The micro-Doppler signature is a distinctive characteristic of micro-motion represented by intricate time-varying Doppler frequency modulations. It can be used to extract motion kinematic features for identifying an object of interest. In this Chapter, we introduce the micro-Doppler signature in radar and its applications for sensing micro-motion.
Victor C. Chen, William J. Miceli
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Advances in applications of radar micro-Doppler signatures
2014 IEEE Conference on Antenna Measurements & Applications (CAMA), 2014Micro-Doppler signatures have been widely applied in civilian and military uses, In the paper, an overview of recent advances in extractions and applications of radar micro-Doppler signatures is presented, including recognition of space, air, and ground targets, combined micro-Doppler with range-Doppler features, through-wall micro-Doppler signatures ...
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Radar Micro-Doppler Signatures: Processing and Applications
2014* Chapter 1: Micro-Doppler Signatures - Review, Challenges, and Perspectives * Chapter 2: Phenomenology of Radar Micro-Doppler Signatures * Chapter 3: Analysis of Human Signatures using High-Range Resolution Micro-Doppler Radar * Chapter 4: Range and Micro-Doppler Analysis of Human Motion Using High Resolution Experimental HYCAM Radar * Chapter 5 ...
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Radar micro-Doppler signatures of small UAVs
AOPC 2020: Optical Sensing and Imaging Technology, 2020Jie Yu, Yulan Liu, Haohao Hou
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UAV Swarm Types Identification with Micro-Doppler Signatures
IEICE Transactions on CommunicationsZihan Chen +5 more
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A UAV classification system based on FMCW radar micro-Doppler signature analysis
Expert Systems With Applications, 2019Zhiping Lin, Beom-Seok Oh
exaly
A measurement approach based on micro-Doppler maps for signature and motion analysis
Proceedings of SPIE, 2013exaly

