Results 51 to 60 of about 979,995 (200)
Towards Adversarial Denoising of Radar Micro-Doppler Signatures [PDF]
2019 International Radar Conference (RADAR), 2019 Generative Adversarial Networks (GANs) are considered the state-of-the-art in the field of image generation. They learn the joint distribution of the training data and attempt to generate new data samples in high dimensional space following the same distribution as the input.
Karim Armanious +4 more
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Obfuscation of Human Micro-Doppler Signatures in Passive Wireless RADAR
IEEE Access, 2023 When wireless communication signals impinge on a moving human they are affected by micro-Doppler. A passive receiver of the resulting signals can calculate the spectrogram that produces different signatures depending on the human activity.
Antonios Argyriou
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Sensors, 2023 In this paper, we propose to extract the motions of different human limbs by using interferometric radar based on the micro-Doppler-Range signature (mDRS).
Xianxian He, Yunhua Zhang, Xiao Dong
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Range-Doppler Based Moving Target Image Trace Analysis Method in Circular SAR
Remote Sensing, 2023 The single channel Circular Synthetic Aperture Radar (CSAR) has the advantage of continuous surveillance of a fixed scene of interest, which can provide high frame rate image sequences to detect ground moving targets.
Wenjie Shen +5 more
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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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Convolutional Neural Network Classification using Three Cepstrums Combinations with Time, Time Derivative and Reassigned STFT of Doppler Signatures from Radar Human Locomotion [PDF]
Iranian Journal of Electrical and Electronic EngineeringThis paper introduces the CTDRCepstrum, a novel feature extraction technique designed to differentiate various human activities using Doppler radar classification.
Dalila Yessad
doaj
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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Signature stability in laser Doppler vibrometry
SPIE Proceedings, 2017 Speckle can complicate signal acquisition in coherent laser systems such as Laser Doppler Vibrometry (LDV). Variations in the speckle pattern at the reliever due to fluctuations in the system such as beam pointing can lead to impulsive events in the signature.
Thomas Z. Iverson, Edward A. Watson
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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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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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