Results 11 to 20 of about 18,380 (225)
Radar Measurement of Human Polarimetric Micro-Doppler [PDF]
Journal of Electrical and Computer Engineering, 2013 We use polarimetric micro-Doppler for the detection of arm motion, especially for the classification of whether someone has their arms swinging and is thus unloaded. The arm is often bent at the elbow, providing a surface somewhat similar to a dihedral. This is distinct from the more planar surfaces of the body which allows us to isolate the signals of
David Tahmoush, Jerry Silvious
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Robustness of Deep Neural Networks for Micro-Doppler Radar Classification [PDF]
2022 23rd International Radar Symposium (IRS), 2022 With the great capabilities of deep classifiers for radar data processing come the risks of learning dataset-specific features that do not generalize well. In this work, the robustness of two deep convolutional architectures, trained and tested on the same data, is evaluated.
Czerkawski, Mikolaj +4 more
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Leida xuebao, 2023 Compared with traditional Electromagnetic (EM) wave radars, vortex EM wave radars can simultaneously observe the micro-motion components projected onto the radar’s radial and perpendicular planes, providing more information for target recognition.
Hang YUAN +4 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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Micro‐motion parameter extraction of rotating target based on vortex electromagnetic wave radar
IET Radar, Sonar & Navigation, 2021 The vortex electromagnetic (EM) wave radar has the potential to obtain more accurate micro‐motion parameters for target recognition. However, with the existing algorithms of micro‐motion parameter extraction it is difficult to obtain the real rotation ...
Hang Yuan +4 more
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International Journal of Advanced Robotic Systems, 2021 The study investigated object detection and classification based on both Doppler radar spectrograms and vision images using two deep convolutional neural networks.
Jnana Sai Abhishek Varma Gokaraju +3 more
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Dynamic Hand Gesture Classification Based on Radar Micro-Doppler Signatures [PDF]
, 2016 Dynamic hand gesture recognition is of great importance for human-computer interaction. In this paper, we present a method to discriminate the four kinds of dynamic hand gestures, snapping fingers, flipping fingers, hand rotation and calling, using a ...
Fioranelli, Francesco +4 more
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Monostatic and Bistatic Radar Measurements of Birds and Micro-drone [PDF]
, 2016 This paper analyses the experimental results from recent monostatic and bistatic radar measurements of multiple birds as well as a quadcopter micro-drone. The radar system deployed for these measurements was the UCL developed NetRAD system.
Fioranelli, Francesco +3 more
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Micro-Doppler Feature Extraction of Rotating Structures of Aircraft Targets with Terahertz Radar
Remote Sensing, 2022 The micro-Doppler features formed by the micro-motion of rotating blades of rotors and turbines are of great significance for aircraft target detection and recognition.
Xiaoyu Qin, Bin Deng, Hongqiang Wang
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Applied Sciences, 2019 Under the same principle, laser radar could be more sensitive to the micro-Doppler (m-D) effect due to its wave length, as the characteristic of multi-resolution, S transform could reduce the influence of the micro-Doppler component and enhance the ...
Bo Zang +4 more
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