Results 31 to 40 of about 23,685 (263)
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
Personnel recognition and gait classification based on multistatic micro-doppler signatures using deep convolutional neural networks [PDF]
, 2018 In this letter, we propose two methods for personnel recognition and gait classification using deep convolutional neural networks (DCNNs) based on multistatic radar micro-Doppler signatures.
Chen, Zhaoxi +3 more
core +1 more source
Data-dependent micro-Doppler feature selection
2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015 A vast number of features have been proposed over the years for classification of radar micro-Doppler signatures. However, the degree to which a feature may contribute in discriminating between classes depends upon a variety of operational considerations, such as antenna-target aspect angle, signal-to-noise ratio (SNR), and dwell time.
Baris Erol +3 more
openaire +3 more sources
Micro-Doppler separation of multi-target based on ACO in midcourse
The Journal of Engineering, 2019 To solve the problem of mutual superposition and interference of multi-target micro-Doppler in midcourse, a method based on modified ant colony optimisation (ACO) is proposed.
Yizhe Wang +5 more
doaj +1 more source
Effect of sparsity-aware time–frequency analysis on dynamic hand gesture classification with radar micro-Doppler signatures [PDF]
, 2018 Dynamic hand gesture recognition is of great importance in human-computer interaction. In this study, the authors investigate the effect of sparsity-driven time-frequency analysis on hand gesture classification.
Fioranelli, Francesco +3 more
core +1 more source
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
A Doppler aliasing free micro-motion parameter estimation method in the terahertz band
EURASIP Journal on Wireless Communications and Networking, 2017 Micro-Doppler, induced by micro-motion of targets, is an important characteristic for target recognition once extracted via parameter estimation. However, micro-Doppler is usually too significant to result in aliasing in the terahertz band.
Qi Yang +3 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
Realistic Simulation of Drone Micro-Doppler Signatures
2021 18th European Radar Conference (EuRAD), 2022 This paper presents a novel approach to simulating micro-Doppler signatures caused by drones. The focus of this work is to produce realistic signatures that represent the variation that is observed in live radar measurements. In order to accomplish this, the kinematics and dynamics of a drone flight are modelled to capture the changing rotor rotation ...
Bennett, Cameron +2 more
openaire +1 more source
Remote Sensing, 2021 It is crucial for a ballistic missile defense system to discriminate the true warhead from decoys. Although a decoy has a similar shape to the warhead, it is believed that the true warhead can be separated by its micro-Doppler features introduced by the ...
Nannan Zhu +6 more
doaj +1 more source