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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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
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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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Micro-Doppler Estimation and Analysis of Slow Moving Objects in Forward Scattering Radar System
Remote Sensing, 2017 Micro-Doppler signature can convey information of detected targets and has been used for target recognition in many Radar systems. Nevertheless, micro-Doppler for the specific Forward Scattering Radar (FSR) system has yet to be analyzed and investigated ...
Raja Syamsul Azmir Raja Abdullah +5 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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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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Causal Localization Network for Radar Human Localization With Micro-Doppler Signature
IEEE AccessThe Micro-Doppler (MD) signature includes unique characteristics from different-sized body parts such as arms, legs, and torso. Existing radar identification systems have attempted to classify human identification using these characteristics in MD ...
Sunjae Yoon +5 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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