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Multiscale Residual Weighted Classification Network for Human Activity Recognition in Microwave Radar. [PDF]

Sensors (Basel)
Gao Y, Cao L, Zhao Z, Wang D, Fu C, Guo Y.   +5 more
europepmc   +1 more source

Radar target micro-doppler signature classification

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Radar Micro-Doppler Signature Analysis with HHT

IEEE Transactions on Aerospace and Electronic Systems, 2010
Radar micro-Doppler signature analysis of vibrating targets with the joint time-frequency methods can provide useful information for target detection, classification, and recognition. We employ a well-known method for nonlinear and nonstationary signals, Hilbert-Huang transform (HHT) as a new approach in micro-Doppler analysis.
Yilong Lu, Weixian Liu
exaly   +2 more sources

UAV Micro-Doppler Signature Analysis

2020 IEEE Radar Conference (RadarConf20), 2020
The radar phenomenology of UAVs interacts with the micro-Doppler signal processing in interesting and useful ways. This paper adjusts the micro-Doppler processing to establish more consistent UAV micro-Doppler signatures and improve the separability of relevant features. The outlined approach is developed in the context of UAV rotor analysis.
Daniel B Herr, Thomas J. Kramer, Zeus Gannon, Dave Tahmoush   +3 more
openaire   +1 more source

Micro-Doppler Signature Classification

2006 CIE International Conference on Radar, 2006
The micro-Doppler signature of a target is a time varying frequency modulation imparted on the radar echo signal by moving components of the target. Battlefield radar output the radar's baseband signal as audio and soldiers listening on headphones are able to identify the target from its micro-Doppler signature.
Graeme E. Smith, Karl Woodbridge, Chris J. Baker   +2 more
openaire   +1 more source