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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.
Erol, Baris +3 more
openaire +3 more sources
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
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
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
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
Gait Analysis of Horses for Lameness Detection with Radar Sensors [PDF]
, 2017 This paper presents the preliminary investigation of the use of radar signatures to detect and assess lameness of horses and its severity. Radar sensors in this context can provide attractive contactless sensing capabilities, as a complementary or ...
Fioranelli, F. +4 more
core +1 more source
Radar and RGB-depth sensors for fall detection: a review [PDF]
, 2017 This paper reviews recent works in the literature on the use of systems based on radar and RGB-Depth (RGB-D) sensors for fall detection, and discusses outstanding research challenges and trends related to this research field.
Cippitelli, Enea +3 more
core +1 more source
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
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
Magnetic and radar sensing for multimodal remote health monitoring [PDF]
, 2019 With the increased life expectancy and rise in health conditions related to aging, there is a need for new technologies that can routinely monitor vulnerable people, identify their daily pattern of activities and any anomaly or critical events such as ...
Fioranelli, Francesco +4 more
core +1 more source