Animal lameness detection with radar sensing [PDF]
, 2018 Lameness is a significant problem for performance horses and farmed animals, with severe impact on animal welfare and treatment costs. Lameness is commonly diagnosed through subjective scoring methods performed by trained veterinary clinicians, but ...
Busin, Valentina +9 more
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Micro-Doppler Ambiguity Resolution Based on Short-Time Compressed Sensing
Journal of Electrical and Computer Engineering, 2015 When using a long range radar (LRR) to track a target with micromotion, the micro-Doppler embodied in the radar echoes may suffer from ambiguity problem.
Jing-bo Zhuang +4 more
doaj +1 more source
Decomposition of Multicomponent Micro-Doppler Signals Based on HHT-AMD
Applied Sciences, 2018 Micro-Doppler signals analysis has been emerging as an important topic in target identification, and relative research has been focusing on features extraction and separation of the radar signals.
Wenchao Li, Gangyao Kuang, Boli Xiong
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IEEE Access, 2022 Classification of multiple drones and birds by comparing micro-Doppler (MD) signatures is a very difficult task because the MD signatures of multiple birds can contaminate the MD signature of drones, and because a single drone can yield a very similar MD
Sewon Yoon +7 more
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Gait Analysis of Horses for Lameness Detection with Radar Sensors [PDF]
, 2017 This paper presents the preliminary investigation of the use of radar signatures to detect and assess lameness of horses and its severity. Radar sensors in this context can provide attractive contactless sensing capabilities, as a complementary or ...
Fioranelli, F. +4 more
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UAV Recognition Based on Micro-Doppler Dynamic Attribute-Guided Augmentation Algorithm
Remote Sensing, 2021 A micro-Doppler signature (m-DS) based on the rotation of drone blades is an effective way to detect and identify small drones. Deep-learning-based recognition algorithms can achieve higher recognition performance, but they needs a large amount of sample
Caidan Zhao +4 more
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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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MACHe - Model-based algorithm for classification of helicopters [PDF]
, 2016 Secondary motions of a target, such as rotating blades of a helicopter's main rotor, induce a Doppler modulation around the main Doppler shift. This represents a unique feature of the target itself, known as micro-Doppler signature, and can be used for ...
Gaglione, Domenico
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Multistatic human micro-Doppler classification of armed/unarmed personnel [PDF]
, 2015 Classification of different human activities using multistatic micro-Doppler data and features is considered in this paper, focusing on the distinction between unarmed and potentially armed personnel.
Fioranelli, F, Griffiths, H, Ritchie, M
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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
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