Results 1 to 10 of about 519,750 (303)

Doppler signature in electrodynamic retarded potentials

open access: yesPhysics Open, 2023
The presence of the term v/c that characterizes the electrodynamic retarded potentials, also known as Liénard–Wiechert potentials, is thought to be reminiscent of a Doppler effect.
Giovanni Perosa   +3 more
doaj   +3 more sources

Micro-Doppler Signature Detection and Recognition of UAVs Based on OMP Algorithm [PDF]

open access: yesSensors, 2023
With the proliferation of unmanned aerial vehicles (UAVs) in both commercial and military use, the public is paying increasing attention to UAV identification and regulation. The micro-Doppler characteristics of a UAV can reflect its structure and motion
Shiqi Fan   +4 more
doaj   +2 more sources

Automatic recognition of sonar targets using feature selection in micro-Doppler signature

open access: yesDefence Technology, 2023
Currently, the use of intelligent systems for the automatic recognition of targets in the fields of defence and military has increased significantly.
Mohammad Khishe   +2 more
exaly   +3 more sources

Pedestrian and Animal Recognition Using Doppler Radar Signature and Deep Learning

open access: yesSensors, 2022
Pedestrian occurrences in images and videos must be accurately recognized in a number of applications that may improve the quality of human life. Radar can be used to identify pedestrians.
Tomáš Krilavičius   +2 more
exaly   +3 more sources

Radar Micro‐Doppler Signature Generation Based on Time‐Domain Digital Coding Metasurface [PDF]

open access: yesAdvanced Science
Micro‐Doppler effect is a vital feature of a target that reflects its oscillatory motions apart from bulk motion and provides an important evidence for target recognition with radars.
Si Ran Wang   +10 more
doaj   +2 more sources

Micro-Doppler Signature Analysis for Space Domain Awareness Using VHF Radar

open access: yesRemote Sensing
The large quantity of resident space objects orbiting Earth poses a threat to safety and efficient operations in space. Radar sensors are well suited to detecting objects in space including decommissioned satellites and debris, whereas the more commonly ...
David Holdsworth   +2 more
exaly   +3 more sources

Foot Gesture Recognition Using High-Compression Radar Signature Image and Deep Learning

open access: yesSensors, 2021
Recently, Doppler radar-based foot gesture recognition has attracted attention as a hands-free tool. Doppler radar-based recognition for various foot gestures is still very challenging. So far, no studies have yet dealt deeply with recognition of various
Seungeon Song   +3 more
doaj   +1 more source

Dual-Scale Doppler Attention for Human Identification

open access: yesSensors, 2022
This paper considers a Deep Convolutional Neural Network (DCNN) with an attention mechanism referred to as Dual-Scale Doppler Attention (DSDA) for human identification given a micro-Doppler (MD) signature induced as input.
Sunjae Yoon   +4 more
doaj   +1 more source

Measurements and Analysis of the Doppler Signature of a Human Moving within the Forest in UHF-Band

open access: yesRemote Sensing, 2021
Measurements of the Doppler signature in UHF-band of a human moving in outdoor sites are presented in this paper. A radar campaign has been carried out, observing a subject walking and running outside, near and within a forest.
Giovanni Manfredi   +5 more
doaj   +1 more source

Human and bird detection and classification based on Doppler radar spectrograms and vision images using convolutional neural networks

open access: yesInternational Journal of Advanced Robotic Systems, 2021
The study investigated object detection and classification based on both Doppler radar spectrograms and vision images using two deep convolutional neural networks.
Jnana Sai Abhishek Varma Gokaraju   +3 more
doaj   +1 more source

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