Results 71 to 80 of about 19,915 (242)

Doppler Problems in Orthogonal MIMO Radars

2006 IEEE Conference on Radar, 2006
This paper presents a construction methodology waveform design with low cross-correlation, autocorrelation peak sidelobe levels and resilience to Doppler for orthogonal multiple-input multiple-output (MIMO) radar applications. It shows that an existing numerical solution only addresses autocorrelation and cross-correlation properties with the result ...
Khan, H, Edwards, D, IEEE
openaire   +2 more sources

Modelling the Four‐Dimensional Power Line Sag Dynamics by Point Signature in Time‐Series Synthetic‐Aperture Radar Images

High Voltage, EarlyView.
ABSTRACT Power lines in synthetic‐aperture radar (SAR) images are reflected as point signatures, which fluctuate annually in both the azimuth and range directions. A novel framework is proposed in this paper to evaluate the four‐dimensional dynamic status of power line sag using those point signatures in time‐series SAR images.
Sijie Ma, Tao Li, Mahdi Motagh, Yan Liu, Yangmao Wen   +4 more
wiley   +1 more source

Modern spectral analysis in HF radar remote sensing. [PDF]

, 1998
High-Frequency (HF) radar systems are currently used to collect wave data. By applying spectral analysis methods, such as the Fast Fourier Transform (FFT) method, to the radar backscatter from the ocean surface, the so-called Doppler spectrum is ...
Vizinho, A., Vizinho, A
core  

The effect of reported high-velocity small raindrops on inferred drop size distributions and derived power laws [PDF]

, 2010
It has recently been shown that at high rainfall intensities, small raindrops may fall with much larger velocities than would be expected from their diameters. These were argued to be fragments of recently broken-up larger drops.
H. Leijnse, Leijnse, H., R. Uijlenhoet, Uijlenhoet, R.   +3 more
core   +1 more source

Phenotyping Preeclampsia Using Unsupervised Machine Learning: A Prospective Cohort Study

BJOG: An International Journal of Obstetrics &Gynaecology, EarlyView.
ABSTRACT Objective To explore clinically meaningful phenotypes of preeclampsia using unsupervised machine learning. Design Prospective cohort study. Setting BCNatal, a tertiary maternal‐foetal medicine centre (Barcelona, Spain). Population A total of 482 pregnant women diagnosed with preeclampsia between August 2013 and April 2024.
Ohad Houri, Lina Youssef, Francesca Crovetto, Maria Borrell, Maddalena Crimella, Maria Giulia Ferrante, Rommy H. Novoa, Irene Casas, Noelia Encabo, Leticia Benitez, Marta Larroya, Anna Peguero, Eva Meler, Sara Castro‐Barquero, Bart Bijnens, Francesc Figueras, Eduard Gratacos, Gabriel Bernardino, Fàtima Crispi   +18 more
wiley   +1 more source

Observations and Analysis of a Tornadic Quasi‐Linear Convective System (QLCS) With Bistatic Weather Radar

Geophysical Research Letters, Volume 53, Issue 13, 16 July 2026.
Abstract The deployment of a multistatic radar network in the Oklahoma City metropolitan area in Spring 2024 has allowed for unique observations of several severe weather events. This passive multistatic network operates in conjunction with the operational KTLX WSR‐88D, allowing for synchronous multi‐Doppler analyses. This work presents a case study of
Samuel Emmerson, David Bodine, Patrick Skinner, Robert Palmer, David Schvartzman, Pierre Kirstetter   +5 more
wiley   +1 more source

Measuring River Surface Velocity Using UAS‐Borne Doppler Radar

Water Resources Research
Using Unoccupied Aerial Systems (UAS) equipped with optical RGB cameras and Doppler radar, surface velocity can be efficiently measured at high spatial resolution.
Zhen Zhou, Laura Riis‐Klinkvort, Emilie Ahrnkiel Jørgensen, Christine Lindenhoff, Monica Coppo Frías, Alexander Rietz Vesterhauge, Daniel Haugård Olesen, Makar Lavish, Alexey Dobrovolskiy, Alexey Kadek, Niksa Orlic, Tomislav Grubesa, Luka Drmić, Henrik Grosen, Sune Nielsen, Daniel Wennerberg, Viktor Fagerström, Jenny Axén, David Gustafsson, Peter Bauer‐Gottwein   +19 more
doaj   +1 more source

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

International 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, Weon Keun Song, Min-Ho Ka, Somyot Kaitwanidvilai   +3 more
doaj   +1 more source

Marine Aerosol to Refinery Emissions: Transport and Evolution of CCN in the Houston Metropolitan Area and Their Impact on Cloud Formation

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 13, 16 July 2026.
Abstract The Experiment of Sea Breeze Convection, Aerosols, Precipitation and Environment (ESCAPE) campaign aimed to untangle the impacts of contrasting aerosol sources on cloud microphysical properties within deep convective cells using airborne observations with the National Research Council Canada (NRC) Convair CV‐580 research aircraft.
G. C. Roberts, K. Ranjbar, L. Nichman, M. Wolde, C. S. McCluskey, A. Takeishi, R. Patnaude, S. Patil, G. M. McFarquhar, P. Kollias   +9 more
wiley   +1 more source

Human Micro-Doppler Frequency Estimation Approach for Doppler Radar

IEEE Access, 2018
Micro-Doppler frequency estimation is an important issue for radar target recognition. In this paper, a novel approach is proposed to accurately estimate the micro-Doppler frequencies of specific target scattering parts, which can be very promising in real-time human sensing applications.
Yipeng Ding, Chengxi Lei, Xuemei Xu, Kehui Sun, Ling Wang   +4 more
openaire   +2 more sources