Results 21 to 30 of about 23,685 (263)
Knowledge Exploitation for Human Micro-Doppler Classification
IEEE Geoscience and Remote Sensing Letters, 2015 Micro-Doppler radar signatures have great potential for classifying pedestrians and animals, as well as their motion pattern, in a variety of surveillance applications. Due to the many degrees of freedom involved, real data need to be complemented with accurate simulated radar data to be able to successfully design and test radar signal processing ...
Sevgi Z Gurbuz +2 more
exaly +7 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
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.
Jiangkun Gong
exaly +3 more sources
Features for micro‐Doppler based activity classification
IET Radar, Sonar and Navigation, 2015 Safety and security applications benefit from better situational awareness. Radar micro‐Doppler signatures from an observed target carry information about the target's activity, and have potential to improve situational awareness. This article describes, compares, and discusses two methods to classify human activity based on radar micro‐Doppler data ...
Gustaf Hendeby
exaly +4 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
doaj +1 more source
Radar micro-Doppler signatures of drones and birds at K-band and W-band [PDF]
Scientific Reports, 2018 Samiur Rahman, Duncan A Robertson
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Human Activity Classification Based on Dual Micro-Motion Signatures Using Interferometric Radar
Remote Sensing, 2023 Micro-Doppler signatures obtained from the Doppler radar are generally used for human activity classification. However, if the angle between the direction of motion and radar antenna broadside is greater than 60°, the micro-Doppler signatures generated ...
Shahid Hassan +5 more
doaj +1 more source
Efficient Classification of Birds and Drones Considering Real Observation Scenarios Using FMCW Radar [PDF]
Journal of Electromagnetic Engineering and Science, 2021 In this study, we consider real observation scenarios and propose an efficient method to accurately distinguish drones from birds using features obtained from their micro-Doppler (MD) signatures.
Se-Won Yoon +7 more
doaj +1 more source
From Modeling to Sensing of Micro-Doppler in Radio Communications
Remote Sensing, 2022 The Doppler effect in radio systems has been widely explored by the radio communication community. However, these studies have been limited to simple motion such as linear translation.
Louis Morge-Rollet +4 more
doaj +1 more source
IEEE Access, 2021 The capability of a radar system to detect and identify the low-slow-small rotor unmanned aerial vehicle (UAV) is intensely important for management and control in low altitude, and it can be enhanced by the characteristics of UAV, which inherently ...
Guangyu Ji, Chen Song, Hongtao Huo
doaj +1 more source