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Experimental Observations of Micro-Doppler Signatures With Passive Radar
IEEE Transactions on Aerospace and Electronic Systems, 2019Passive 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 Landon Garry, Graeme E Smith
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Simulation of human micro-Doppler signatures with Kinect sensor
2014 IEEE Radar Conference, 2014 The availability and access to real radar data collected for targets with a desired characteristic is often limited by monetary and practical resources, especially in the case of airborne radar. In such cases, the generation of accurate simulated radar data is critical to the successful design and testing of radar signal processing algorithms.
Karabacak, Cesur +3 more
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Micro-Range/Micro-Doppler Decomposition of Human Radar Signatures
IEEE Transactions on Aerospace and Electronic Systems, 2012Recently, 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 D Rigling
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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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Generative Adversarial Networks for Classification of Micro-Doppler Signatures of Human Activity
IEEE Geoscience and Remote Sensing Letters, 2020 We propose using generative adversarial networks (GANs) for the classification of micro-Doppler signatures measured by the radar. Despite Deep Convolutional Neural Networks (DCNNs) having been used extensively in radar image classification in recent ...
Ibrahim Alnujaim, Youngwook Kim
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UAV Micro-Doppler Signature Analysis
2020 IEEE Radar Conference (RadarConf20), 2020The 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
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Micro-Doppler Signature Classification
2006 CIE International Conference on Radar, 2006The 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
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Template based micro-Doppler signature classification
IET Seminar on High Resolution Imaging and Target Classification, 2006The 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 baseband signal as audio and soldiers listening on headphones are able to identify the target from its micro-Doppler signature.
Graeme Smith +2 more
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Micro-Doppler radar signatures of human activity
SPIE Proceedings, 2010We will present the continued development of a millimeter-wave/sub-THz radar system used to capture and assess micro-Doppler signatures of humans. This system is being developed to remotely monitor respiration and heartbeat rates at standoff distances of up to 100 meters.
Moulton, Michael C. +3 more
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Multistatic Micro-Doppler Signature of personnel
2008 IEEE Radar Conference, 2008For the first time the multistatic Micro-Doppler Signature (mu-DS) of personnel targets has been collected using University College Londonpsilas NetRAD radar system. The data demonstrates that using a multistatic mu-DS is a viable approach to overcoming the problem of self-occlusion, where a target obstructs its own mu-DS, in automatic target ...
Graeme E. Smith +2 more
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