Results 1 to 10 of about 1,725,722 (217)
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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Exploring Radar Micro-Doppler Signatures for Recognition of Drone Types
Drones, 2023 In this study, we examine the use of micro-Doppler signals produced by different blades (i.e., puller and lifting blades) to aid in radar-based target recognition of small drones.
Jun Yan +4 more
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Radar micro-Doppler signatures of drones and birds at K-band and W-band [PDF]
Scientific Reports, 2018 The authors acknowledge the funding received from the Science and Technology Facilities Council which has supported this work under grant ST/N006569/1Due to the substantial increase in the number of affordable drones in the consumer market and their ...
Duncan Robertson, Samiur Rahman
exaly +4 more sources
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
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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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
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
doaj +2 more sources
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.
exaly +2 more sources
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
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