Results 121 to 130 of about 1,750,687 (213)

Indoor Human Motion Recognition Based on FMCW Radar and Threshold Comparison Algorithm

IEEE Access
Radar technology, particularly frequency-modulated continuous wave (FMCW) radar, has garnered attention in the field of smart home monitoring owing to its high sensitivity, long-range surveillance capabilities, and privacy-preserving characteristics ...
Ruoyu He, Masaki Kurosawa, Guanghao Sun
doaj   +1 more source

Measurement and Analysis of Multiband Bistatic and Monostatic Radar Signatures of Wind Turbines [PDF]

This paper presents the results of recent measurements taken with two radar systems to measure the simultaneous monostatic and bistatic signature of wind turbines, at S-band and X-band.
Ritchie, MA, Griffiths, H, Fioranelli, F, Balleri, A   +3 more
core  

Hand Gesture Recognition Using FSK Radar Sensors

Sensors
Hand gesture recognition, which is one of the fields of human–computer interaction (HCI) research, extracts the user’s pattern using sensors. Radio detection and ranging (RADAR) sensors are robust under severe environments and convenient to use for hand ...
Kimoon Yang, Minji Kim, Yunho Jung, Seongjoo Lee   +3 more
doaj   +1 more source

Micro-doppler signature extraction and analysis for automotive application

36739
Giovanneschi, Fabio, Petervari, René, González-Huici, María Antonia   +2 more
core   +1 more source

Terahertz Micro-Doppler Radar for Detection and Characterization of Multicopters [PDF]

, 2018
: The micromotions (e.g. vibration, rotation, etc.,) of a target induce time-varying frequency modulations on the reflected signal, called the micro-Doppler modulations.

core  

Abstracts from the 2026 Congress of the Scandinavian Society of Anesthesiology and Intensive Care Medicine, Reykjavik, Iceland, June 10–12, 2026

Acta Anaesthesiologica Scandinavica, Volume 70, Issue 9, October 2026.
wiley   +1 more source

Radar Micro-Doppler Mini-UAV Classification using Spectrograms and Cepstrograms

, 2015
The radar micro-Doppler signature of a target is determined by parts of the target moving or rotating in addition to the main body motion. The relative motion of these parts is characteristic for different classes of targets, e.g.
Prémel-Cabic, G., Wit, J.J.M. de, Harmanny, R.I.A.   +2 more
core   +1 more source

Radar Simulation of Human Micro-Doppler Signature From Video Motion Capture Data

, 2013
The availability of data sets on which signal processing techniques may be tested is critical to the development of human detection, identification, and classification algorithms.
Karabacak, Cesur, Gürbüz, Sevgi Zübeyde, Gürbüz, Ali Cafer   +2 more
core  

Radar Micro-Doppler classification of Mini-UAVs

, 2015
The radar micro-Doppler signature of a target depends on its micro-motion, i.e., the motion of parts of a target relative to the motion of the target as a whole.
Prémel-Cabic, G., Wit, J.J.M., Harmanny, R.L.A.   +2 more
core  

A review of reconfigurable metasurfaces for radar applications. [PDF]

iScience
Qian B, Chu H, Guo YX, Zhao Z.
europepmc   +1 more source