Results 31 to 40 of about 1,839,791 (111)
Classification of Space Objects by Using Deep Learning with Micro-Doppler Signature Images
Sensors, 2021 Radar target classification is an important task in the missile defense system. State-of-the-art studies using micro-doppler frequency have been conducted to classify the space object targets.
Kwangyong Jung +4 more
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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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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
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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
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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
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IEEE Access, 2022 Classification of multiple drones and birds by comparing micro-Doppler (MD) signatures is a very difficult task because the MD signatures of multiple birds can contaminate the MD signature of drones, and because a single drone can yield a very similar MD
Sewon Yoon +7 more
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94 GHz Doppler radar for experimental validation of small UAV micro-Doppler [PDF]
, 2022 Funding: The authors acknowledge the financial support of the Engineering and Physical Sciences Council and QinetiQ (PhD funding for MM).The micro-Doppler signature of a small unmanned aerial vehicle (UAV), resulting from the rotation of propeller blades,
Robertson, Duncan A. +8 more
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The Journal of Engineering, 2019 Micro-Doppler (m-D) effect is a unique signature of radar targets with micro-motion, which provides a new technique for target recognition. Passive radar based on communication signal has a great significance in detection and recognition for micro-motion
Xiao-yu Qu +3 more
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, 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 +3 more sources