Results 1 to 10 of about 519,750 (303)
Doppler signature in electrodynamic retarded potentials
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]
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
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
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]
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
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
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
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
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
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

