Results 21 to 30 of about 18,380 (225)
Gait Classification Based on Micro-Doppler Features [PDF]
, 2016 This paper focuses on the classification of human gaits based on micro-Doppler signatures. The micro-Doppler signatures can represent detailed information about the human gaits, which helps in judging the threat of a personnel target. The proposed method
Fioranelli, Francesco +4 more
core +2 more sources
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
ERUO: a spectral processing routine for the Micro Rain Radar PRO (MRR-PRO) [PDF]
Atmospheric Measurement Techniques, 2022 The Micro Rain Radar PRO (MRR-PRO) is a K-band Doppler weather radar, using frequency-modulated continuous-wave (FMCW) signals, developed by Metek Meteorologische Messtechnik GmbH (Metek) as a successor to the MRR-2.
A. Ferrone +2 more
doaj +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
Leida xuebao, 2018 In this paper, experimental results of micro-Doppler effect on a multi-rotor drone with digital television based passive radar are discussed. First, the bistatic passive radar micro-motion model of the drone is established.
Liu Yuqi +5 more
doaj +1 more source
Real Micro-Doppler Parameters Extraction of Spinning Targets Based on Rotating Interference Antenna
Remote Sensing, 2022 Micro-Doppler is a unique characteristic of targets with micro-motions, which can provide significant information for target classification and recognition.
Zhihao Wang +4 more
doaj +1 more source
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
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
A Deep-Learning Method for Radar Micro-Doppler Spectrogram Restoration [PDF]
Sensors, 2020 Radio frequency interference, which makes it difficult to produce high-quality radar spectrograms, is a major issue for micro-Doppler-based human activity recognition (HAR). In this paper, we propose a deep-learning-based method to detect and cut out the interference in spectrograms. Then, we restore the spectrograms in the cut-out region.
Yuan He 0009 +4 more
openaire +5 more sources
IEEE Access, 2016 We investigate the feasibility of estimating the total energy expenditure (TEE) of a human for walking/running activities with micro-Doppler signatures. Doppler radar can capture micro-Doppler signatures produced from limb motions when a human moves.
Youngwook Kim +2 more
doaj +1 more source