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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A RPCA-Based ISAR Imaging Method for Micromotion Targets
Sensors, 2020 Micro-Doppler generated by the micromotion of a target contaminates the inverse synthetic aperture radar (ISAR) image heavily. To acquire a clear ISAR image, removing the Micro-Doppler is an indispensable task.
Liangyou Lu, Peng Chen, Lenan Wu
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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
core +2 more sources
Performance Analysis of Classification Algorithms for Activity Recognition using Micro-Doppler Feature [PDF]
, 2018 Classification of different human activities using micro-Doppler data and features is considered in this study, focusing on the distinction between walking and running.
Le Kernec, Julien, Lin, Yier
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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
doaj +1 more source
Applications and Prospect of Micro-motion Theory in the Detection of Sea Surface Target
Leida xuebao, 2013 Micro-Doppler is one of the target physical characteristics. The radar signature of target with micro-motion can make fine characterization of the shape, structure and moving state of target, which reflects the nonstationary property of radar signal ...
Chen Xiao-long, Guan Jian, He You
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Classification of unarmed/armed personnel using the NetRAD multistatic radar for micro-Doppler and singular value decomposition features [PDF]
, 2015 In this letter, we present the use of experimental human micro-Doppler signature data gathered by a multistatic radar system to discriminate between unarmed and potentially armed personnel walking along different trajectories.
Fioranelli, Francesco +2 more
core +1 more source
Personnel recognition based on multistatic micro-Doppler and singular value decomposition features [PDF]
, 2015 The use of micro-Doppler signatures experimentally collected by a multistatic radar system to recognise and classify different people walking is discussed.
Fioranelli, F. +2 more
core +2 more sources
Measurements and analysis of multistatic and multimodal micro-Doppler signatures for automatic target classification [PDF]
, 2014 The purpose of this paper is to present an experimental trial carried out at the Defence Academy of the United Kingdom to measure simultaneous multistatic and multimodal micro-Doppler signatures of various targets, including humans and flying UAVs ...
Balleri, Alessio +2 more
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Multi-aspect micro-Doppler signatures for attitude-independent L/N quotient estimation and its application to helicopter classification [PDF]
, 2017 Micro-Doppler signals returned from the main rotor of a helicopter can be used for feature extraction and helicopter classification. An intrinsic feature of a helicopter that may be extracted from the micro-Doppler signatures is the L/N quotient, where N
Clemente, Carmine +3 more
core +1 more source