Radar Micro‐Doppler Signature Generation Based on Time‐Domain Digital Coding Metasurface [PDF]
Advanced ScienceMicro‐Doppler effect is a vital feature of a target that reflects its oscillatory motions apart from bulk motion and provides an important evidence for target recognition with radars.
Si Ran Wang +10 more
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Micro-Doppler Signature Detection and Recognition of UAVs Based on OMP Algorithm [PDF]
Sensors, 2023 With the proliferation of unmanned aerial vehicles (UAVs) in both commercial and military use, the public is paying increasing attention to UAV identification and regulation. The micro-Doppler characteristics of a UAV can reflect its structure and motion
Shiqi Fan +4 more
doaj +2 more sources
Classification of Space Objects by Using Deep Learning with Micro-Doppler Signature Images [PDF]
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
doaj +2 more sources
Automatic recognition of sonar targets using feature selection in micro-Doppler signature
Defence Technology, 2023 Currently, the use of intelligent systems for the automatic recognition of targets in the fields of defence and military has increased significantly.
Abbas Saffari +2 more
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SP-WVD with Adaptive-Filter-Bank-Supported RF Sensor for Low RCS Targets’ Nonlinear Micro-Doppler Signature/Pattern Imaging System [PDF]
Sensors, 2022 In this study, the authors present the accurate imaging of the behavior of simultaneous operations of multiple low radar cross-section (RCS) aerial targets.
Harish C. Kumawat, A Arockia Bazil Raj
doaj +2 more sources
Estimation of Compression Depth During CPR Using FMCW Radar with Deep Convolutional Neural Network [PDF]
SensorsEffective Cardiopulmonary Resuscitation (CPR) requires precise chest compression depth, but current out-of-hospital monitoring technologies face limitations.
Insoo Choi +4 more
doaj +2 more sources
Convolutional Neural Network-Based Drone Detection and Classification Using Overlaid Frequency-Modulated Continuous-Wave (FMCW) Range–Doppler Images [PDF]
SensorsThis paper proposes a novel drone detection method based on a convolutional neural network (CNN) utilizing range–Doppler map images from a frequency-modulated continuous-wave (FMCW) radar. The existing drone detection and identification techniques, which
Seung-Kyu Han +2 more
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Micro-Doppler Signature Analysis for Space Domain Awareness Using VHF Radar
Remote SensingThe large quantity of resident space objects orbiting Earth poses a threat to safety and efficient operations in space. Radar sensors are well suited to detecting objects in space including decommissioned satellites and debris, whereas the more commonly ...
Emma Heading +3 more
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A New Method for Traffic Participant Recognition Using Doppler Radar Signature and Convolutional Neural Networks [PDF]
SensorsThe latest survey results show an increase in accidents on the roads involving pedestrians and cyclists. The reasons for such situations are many, the fault actually lies on both sides.
Błażej Ślesicki, Anna Ślesicka
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Micro-Doppler Parameters Extraction of Precession Cone-Shaped Targets Based on Rotating Antenna
Remote Sensing, 2022 Micro-Doppler is regarded as a unique signature of a target with micro-motions. The sophisticated recognition of the cone-shaped targets can be realized through the micro-Doppler effect.
Zhihao Wang +4 more
doaj +1 more source