Results 141 to 150 of about 1,618 (192)

Method for UAV propeller characterization using frequency analysis of Lidar signals. [PDF]

open access: yesAppl Phys B
Genoud AP   +4 more
europepmc   +1 more source

Spatiotemporal Feature Learning for Daily-Life Cough Detection Using FMCW Radar. [PDF]

open access: yesBioengineering (Basel)
Lu S   +9 more
europepmc   +1 more source

Experimental Observations of Micro-Doppler Signatures With Passive Radar

IEEE Transactions on Aerospace and Electronic Systems, 2019
Passive radar's ability to observe micro-Doppler phenomena from helicopters, fixed-wing propeller aircraft, and jet engine modulation is examined. Experimental results from a digital television based passive radar demonstrate its potential to observe characteristic signatures of multiple types of air targets and estimate helicopters’ primary rotor ...
Joseph Garry, Graeme Smith
exaly   +2 more sources

Advances in applications of radar micro-Doppler signatures

2014 IEEE Conference on Antenna Measurements & Applications (CAMA), 2014
Micro-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 ...
exaly   +2 more sources

Micro-Range/Micro-Doppler Decomposition of Human Radar Signatures

IEEE Transactions on Aerospace and Electronic Systems, 2012
Recently, the use of micro-Doppler radar signatures for target classification has become an area of focus, in particular for the case of dynamic targets where many components are interacting over time. To fully exploit the signature information, individual scattering centers may be automatically extracted and associated over the full target observation.
Brian Rigling
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   +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   +2 more
openaire   +1 more source

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