Results 61 to 70 of about 2,026,469 (165)

Multi‐LiDAR Observations of Coastal Atmospheric Duct Evolution in Hampton Roads

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 12, 28 June 2026.
Abstract To better understand the influence of atmospheric ducts on radio frequency (RF) operations, continuous high‐resolution observations of temperature and water vapor are essential. Hampton University's (HU) 48‐inch Raman‐Mie LiDAR provides such measurements through rotational and vibrational Raman techniques, enabling detailed monitoring of ...
Jia Su, Melvin A. Felton Jr., Ruben Delgado, David A. Ligon, Deryk James   +4 more
wiley   +1 more source

Enhanced Multi-Channel Feature Synthesis for Hand Gesture Recognition Based on CNN With a Channel and Spatial Attention Mechanism

IEEE Access, 2020
Millimeter-wave (MMW) radar hand gesture recognition technology is becoming important in many electronic device control applications. Currently, most existing approaches utilize the radical and micro-Doppler features from single-channel MMW radar, which ...
Chuan Du, Lei Zhang, Xiping Sun, Junxu Wang, Jialian Sheng   +4 more
doaj   +1 more source

Dynamic Hand Gesture Classification Based on Radar Micro-Doppler Signatures [PDF]

, 2016
Dynamic hand gesture recognition is of great importance for human-computer interaction. In this paper, we present a method to discriminate the four kinds of dynamic hand gestures, snapping fingers, flipping fingers, hand rotation and calling, using a ...
Li, Gang, Zhang, S, Griffiths, H, Ritchie, Matthew, Francesco Fioranelli, Li, G, Shimeng Zhang, Ritchie, M, Zhang, Shimeng, Griffiths, Hugh, Fioranelli, Francesco, Gang Li, Fioranelli, F, Hugh Griffiths, Matthew Ritchie   +14 more
core   +1 more source

Micro‐motion parameters extraction of rotating target based on analytical solution in vortex electromagnetic wave radar

IET Radar, Sonar & Navigation
The linear Doppler effect and angular Doppler effect in vortex electromagnetic wave radar echoes can be used to extract comprehensive micro‐motion parameters.
Hang Yuan, Yi‐Jun Chen, Ying Luo, Jia Liang, Ying‐Xi Liu, Dan Wang   +5 more
doaj   +1 more source

Classification of Drones Based on Micro-Doppler Radar Signatures Using Dual Radar Sensors

Leida xuebao, 2018
Classification of drones is important due to their increasing popularity and potential threats. The micro-Doppler signatures that depend on the rotation of rotor blades facilitate the classification of drones.
Zhang Pengfei, Li Gang, Huo Chaoying, Yin Hongcheng   +3 more
doaj   +1 more source

Frontiers of Doppler Lidar: A Review on Its Global Applications

Meteorological Applications, Volume 33, Issue 3, May/June 2026.
Doppler lidars provide high‐resolution wind measurements that support weather forecasting, wind energy optimization, and aviation safety. This review highlights their global applications, operational advantages, and growing role in atmospheric science and sustainable development. ABSTRACT Doppler lidar is a powerful remote sensing technology capable of
Sridhara Nayak, Isao Kanda
wiley   +1 more source

Acceleration of parasitic multistatic radar system using GPGPU [PDF]

, 2011
This dissertation details the implementation of PMR [Parasitic Multistatic Radar] signal processing chain in the GPGPU [General Purpose Graphic Processing Units] platform.
John, Mathew
core   +1 more source

A review of the FATIMA Yellow Sea field campaign research

Quarterly Journal of the Royal Meteorological Society, Volume 152, Issue 777, April 2026 Part B.
The FATIMA marine fog project took place over the Sable Island region of eastern Canada (summer 2022) and the Yellow Sea of the Republic of Korea (ROK, summer 2023). Its goals are to improve marine fog monitoring and forecasting. Instrumented multiple research vessels, aircraft, tethered balloon and autonomous systems, ocean observation sites, and ...
Seok Lee, Ismail Gultepe, H. J. S. Fernando, Saša Gaberšek, Luc Lenain, Qing Wang, Edward D. Creegan, Eric Pardyjak, Clive Dorman, Lossif Lozovatsky, David G. Ortiz‐Suslow, Jesus Ruiz‐Plancarte, Ryan Yamaguchi, Eren Gultepe, S. Hoch, A. Perelet, D. Singh, Joo Wan Cha, Lian Shen, Anup Vaman Barve, Anne Dowling, Sen Wang, Gianina Giacosa, Laurent Grare, Peter Taylor, Zheqi Chen, Rachel Y.‐W. Chang, Piyush Teeloku, Nicholas Gapp, Seung‐Woo Lee, Jong‐Min Jeong, Hojin Kim, Jin‐Yong Jeong, Ki‐Young Heo, Minsang Kim, Myung‐Sook Park, Kyung‐Hee Oh, Joon‐Seong Park, Dong‐Chull Jeon, Kyu‐Min Song, Jae‐Yeob Kim, Dawoon Jung, Kyung‐Il Chang, Jae Hak Lee, Kyung Man Kim, Daehun Yu, Seong Soo Yum, Andrew J. Heymsfield, Martin Agelin‐Chaab, Tae‐Young Goo, Dong‐Gyun Ryu   +50 more
wiley   +1 more source

Dynamic Hand Gesture Classification Based on Multistatic Radar Micro-Doppler Signatures Using Convolutional Neural Network [PDF]

, 2019
We propose a novel convolutional neural network (CNN) for dynamic hand gesture classification based on multistatic radar micro-Doppler signatures. The timefrequency spectrograms of micro-Doppler signatures at all the receiver antennas are adopted as ...
Griffiths, Hugh, Chen, Zhaoxi, Fioranelli, Francesco, Li, Gang, Gang Li, Francesco Fioranelli, Zhaoxi Chen, Hugh Griffiths   +7 more
core   +1 more source

Measurements of micro rain radar at AWIPEV, Ny-Ålesund (2021)

, 2023
The Micro Rain Radar (MRR; type MRR2) - manufactured by Meteorologische Messtechnik GmbH (Metek) - is a vertically pointing frequency modulated continuous wave (FM-CW) Doppler radar operating at 24.1 GHz (K band).
Walbröl, Andreas, Krobot, Pavel, Ebell, Kerstin   +2 more
core   +1 more source