Results 41 to 50 of about 1,902,052 (207)
Towards Adversarial Denoising of Radar Micro-Doppler Signatures [PDF]
2019 International Radar Conference (RADAR), 2019 Generative Adversarial Networks (GANs) are considered the state-of-the-art in the field of image generation. They learn the joint distribution of the training data and attempt to generate new data samples in high dimensional space following the same distribution as the input.
Karim Armanious +4 more
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Multistatic human micro-Doppler classification of armed/unarmed personnel [PDF]
, 2015 Classification of different human activities using multistatic micro-Doppler data and features is considered in this paper, focusing on the distinction between unarmed and potentially armed personnel.
Griffiths, Hugh +8 more
core +1 more source
Measurements and analysis of multistatic and multimodal micro-Doppler signatures for automatic target classification [PDF]
, 2014 The purpose of this paper is to present an experimental trial carried out at the Defence Academy of the United Kingdom to measure simultaneous multistatic and multimodal micro-Doppler signatures of various targets, including humans and flying UAVs ...
Marcio Perassoli +5 more
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Micro-Doppler radar signatures of human activity
SPIE Proceedings, 2010 We 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
openaire +3 more sources
Classification of small UAVs and birds by micro-Doppler signatures [PDF]
International Journal of Microwave and Wireless Technologies, 2014 The popularity of small unmanned aerial vehicles (UAVs) is increasing. Therefore, the importance of security systems able to detect and classify them is increasing as well. In this paper, we propose a new approach for UAVs classification using continuous wave radar or high pulse repetition frequency (PRF) pulse radars.
Molchanov, P. +4 more
openaire +3 more sources
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 The rolling, pitching, and yawing motion of the vessel produces a micro-Doppler signature in the radar echoes. Ship scatterers’ three-degree-of-freedom (3-DOF) micromotion features contain information on the ship geometric structure and motion ...
Peng Zhou +5 more
doaj +1 more source
, 2012 Micro-Doppler signatures can be a useful source of information for target classification. The exploitation of these signatures is difficult because of the presence of stationary target and noise that enters the receiver antenna beam.
Clemente, Carmine, Soraghan, John J.
core +4 more sources
Micro-Doppler Ambiguity Resolution Based on Short-Time Compressed Sensing
Journal of Electrical and Computer Engineering, 2015 When using a long range radar (LRR) to track a target with micromotion, the micro-Doppler embodied in the radar echoes may suffer from ambiguity problem.
Jing-bo Zhuang +4 more
doaj +1 more source
Decomposition of Multicomponent Micro-Doppler Signals Based on HHT-AMD
Applied Sciences, 2018 Micro-Doppler signals analysis has been emerging as an important topic in target identification, and relative research has been focusing on features extraction and separation of the radar signals.
Wenchao Li, Gangyao Kuang, Boli Xiong
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UAV Recognition Based on Micro-Doppler Dynamic Attribute-Guided Augmentation Algorithm
Remote Sensing, 2021 A micro-Doppler signature (m-DS) based on the rotation of drone blades is an effective way to detect and identify small drones. Deep-learning-based recognition algorithms can achieve higher recognition performance, but they needs a large amount of sample
Caidan Zhao +4 more
doaj +1 more source