Results 31 to 40 of about 18,906 (222)
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
openaire +2 more sources
Three-dimensional reconstruction of space rotating target based on narrow-band radar networks
The Journal of Engineering, 2019 The micro-motion of space target is an important signature for classification and recognition, which has received great attention. Based on the micro-Doppler signals from narrow-band radar networks, this study proposes a three-dimensional reconstruction ...
Chao Wang, Shu L. Wen, Chun M. Ye
doaj +1 more source
IEEE Access, 2020 Envision a ubiquitously device-free motion sensing, this work focuses on the analysis of Wi-Fi-based hand gesture trajectory tracking by utilizing the Doppler frequency obtained from channel state information (CSI).
Nopphon Keerativoranan +3 more
doaj +1 more source
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
core +2 more sources
Experimental analysis of multistatic multiband radar signatures of wind turbines [PDF]
, 2016 This study presents the analysis of recent experimental data acquired using two radar systems at S-band and X-band to measure simultaneous monostatic and bistatic signatures of operational wind turbines near Shrivenham, UK.
Balleri, Alessio +3 more
core +2 more sources
Feature diversity for optimized human micro-doppler classification using multistatic radar [PDF]
, 2017 This paper investigates the selection of different combinations of features at different multistatic radar nodes, depending on scenario parameters, such as aspect angle to the target and signal-to-noise ratio, and radar parameters, such as dwell time ...
Fioranelli, Francesco +3 more
core +2 more sources
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
openaire +3 more sources
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 The rolling, pitching, and yawing motion of the vessel produces a micro-Doppler signature in the radar echoes. Ship scatterers’ three-degree-of-freedom (3-DOF) micromotion features contain information on the ship geometric structure and motion ...
Peng Zhou +5 more
doaj +1 more source
Practical classification of different moving targets using automotive radar and deep neural networks [PDF]
, 2018 In this work, the authors present results for classification of different classes of targets (car, single and multiple people, bicycle) using automotive radar data and different neural networks.
Angelov, Aleksandar +3 more
core +1 more source
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
core +1 more source