Results 1 to 10 of about 1,531 (156)
Space Target Classification Improvement by Generating Micro-Doppler Signatures Considering Incident Angle [PDF]
Sensors, 2022 Classifying space targets from debris is critical for radar resource management as well as rapid response during the mid-course phase of space target flight.
Jae-In Lee +5 more
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Whitening-Aided Learning from Radar Micro-Doppler Signatures for Human Activity Recognition [PDF]
Sensors, 2023 Deep learning architectures are being increasingly adopted for human activity recognition using radar technology. A majority of these architectures are based on convolutional neural networks (CNNs) and accept radar micro-Doppler signatures as input.
Zahra Sadeghi Adl, Fauzia Ahmad
doaj +2 more sources
IEEE Access, 2021 In this paper, we propose to produce synthesized micro-Doppler signatures from different aspect angles through conditional generative adversarial networks (cGANs).
Ibrahim Alnujaim +3 more
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Review of micro‐Doppler signatures
IET Radar, Sonar and Navigation, 2015 Micro‐Doppler signals refer to Doppler scattering returns produced by the motions of the target other than gross translation. The small micro‐motions of a subject, and even just parts of a subject, can be observed through the micro‐Doppler signature it creates in response to an active emitter such as a radar, laser, and even acoustic emitters.
Dave Tahmoush
exaly +2 more sources
IEEE Access, 2016 We investigate the feasibility of estimating the total energy expenditure (TEE) of a human for walking/running activities with micro-Doppler signatures. Doppler radar can capture micro-Doppler signatures produced from limb motions when a human moves.
Youngwook Kim +2 more
doaj +3 more sources
Remote Sensing, 2022 Remote sensing techniques in the microwave frequency range have been successfully used in the context of bird, bat and insect measurements. This article breaks new ground in the analysis of freely flying insects by using a continuous-wave (CW) radar ...
Murat Diyap +3 more
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Hand Gesture Recognition Using Micro-Doppler Signatures With Convolutional Neural Network
IEEE Access, 2016 In this paper, we investigate the feasibility of recognizing human hand gestures using micro-Doppler signatures measured by Doppler radar with a deep convolutional neural network (DCNN).
Youngwook Kim, Brian Toomajian
doaj +3 more sources
Rotor–Body Echo Separation Using a Cyclic-Power-Guided Soft Mask from UAV Radar Signals [PDF]
SensorsRotor-induced micro-Doppler signatures are essential for radar-based characterization of rotary-wing UAVs, but practical echoes are often dominated by a strong quasi-static body return concentrated near zero Doppler.
Ji’er Wang, Jing Sheng, He Tian, Bo Li
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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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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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