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Classification of small UAVs and birds by micro-Doppler signatures [PDF]
International Journal of Microwave and Wireless Technologies, 2014 The popularity of small unmanned aerial vehicles (UAVs) is increasing. Therefore, the importance of security systems able to detect and classify them is increasing as well. In this paper, we propose a new approach for UAVs classification using continuous wave radar or high pulse repetition frequency (PRF) pulse radars.
Molchanov, P. +4 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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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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The Journal of Engineering, 2019 Micro-Doppler (m-D) effect is a unique signature of radar targets with micro-motion, which provides a new technique for target recognition. Passive radar based on communication signal has a great significance in detection and recognition for micro-motion
Xiao-yu Qu +3 more
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Review of micro‐Doppler signatures
IET Radar, Sonar & 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.
openaire +1 more source
Sensors, 2021 In this paper, we propose a cooperative linear discriminant analysis (LDA)-based motion classification algorithm for distributed micro-Doppler (MD) radars which are connected to a data fusion center through the limited backhaul.
Yonggi Hong, Yunji Yang, Jaehyun Park
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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 for drone detection using FSR: a theoretical and experimental validation
The Journal of Engineering, 2019 Drone inexpensive and operational flexibility contributed to its exponential increase by civil users, apart from military applications. This resulted in posing threats due to drone misuses, such as smuggling, unlawful imaging and other significant ...
Surajo Alhaji Musa +4 more
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