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
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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
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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
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Extraction of Human Limbs Based on Micro-Doppler-Range Trajectories Using Wideband Interferometric Radar [PDF]
Sensors, 2023 In this paper, we propose to extract the motions of different human limbs by using interferometric radar based on the micro-Doppler-Range signature (mDRS).
Xianxian He, Yunhua Zhang, Xiao Dong
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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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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
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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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Hand Gesture Recognition Using FSK Radar Sensors [PDF]
SensorsHand gesture recognition, which is one of the fields of human–computer interaction (HCI) research, extracts the user’s pattern using sensors. Radio detection and ranging (RADAR) sensors are robust under severe environments and convenient to use for hand ...
Kimoon Yang +3 more
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A Multi-Rotor Drone Micro-Motion Parameter Estimation Method Based on CVMD and SVD
Remote Sensing, 2022 It is of great significance to detect drones in airspace due to the substantial increase and regrettable misuse in the consumer market. In this paper, we establish a micro-motion theoretical model of a drone and analyze the micro-Doppler signature of ...
Degui Yang +4 more
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Examination of Drone Micro-Doppler and JEM/HERM Signatures [PDF]
2020 IEEE Radar Conference (RadarConf20), 2020 Radars monitoring small targets often must increase their integration times to achieve sufficient signal-to-noise ratio (SNR) for maintaining a viable track. These longer integation times can prevent micro-Doppler signature extraction and instead result in Doppler signatures consisting of spectral lines to the radar's higher-level processing.
Markow, John, Balleri, Alessio
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