Results 131 to 140 of about 16,631 (258)

A K-Band VCO With AC-Shorted Transformer Tank for 76–81 GHz FMCW Radars

IEEE Access
This paper presents an 18.5–20.6 GHz voltage-controlled oscillator (VCO) that achieves a wide tuning range and low phase noise, suitable for frequency-modulated continuous-wave (FMCW) radar systems.
Weihu Wang, Brian A. Floyd
doaj   +1 more source

FPGA implementation of relay-Type correlator for noise radar applications

, 2018
A new implementation of multiplier-less relay correlator in FPGA has been suggested and tested. The novel approach suggested enables exclusion of multipliers usage that saves FPGA resources and, hence, increases number of parallel channels in digital ...
Lukin, S., S. Lukin, V. Pascazio, Tatyanko, D., Lukin, K., Pascazio, V., Zemlyaniy, O., O. Zemlyaniy, K. Lukin, D. Tatyanko   +9 more
core   +1 more source

Smart Flexible Tactile Sensors: Recent Progress in Device Designs, Intelligent Algorithms, and Multidisciplinary Applications

Advanced Intelligent Discovery, EarlyView.
Flexible tactile sensors have considerable potential for broad application in healthcare monitoring, human–machine interfaces, and bioinspired robotics. This review explores recent progress in device design, performance optimization, and intelligent applications. It highlights how AI algorithms enhance environmental adaptability and perception accuracy
Siyuan Wang, Ming Dong, Rongrong Bao, Caofeng Pan   +3 more
wiley   +1 more source

Geosynchronous synthetic aperture radar: design and applications [PDF]

, 2009
Synthetic Aperture Radar (SAR) imaging from geosynchronous orbit has significant potential advantages over conventional low-Earth orbit (LEO) radars, but also challenges to overcome.
Bruno, Davide
core  

Cosmic radio noise observations using a mid-latitude meteor radar

, 2011
For the investigation of meteoroid properties the measurement of the electron line density in meteor ambipolar plasma trails is an important parameter, which becomes accessible by a radar calibration.
Stober, G., W. Singer, G. Stober, Ch. Jacobi, Singer, W., Jacobi, Ch.   +5 more
core   +1 more source

Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion

Advanced Intelligent Discovery, EarlyView.
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia, Christian Mark Pelicano   +1 more
wiley   +1 more source

Metode Reduksi Noise Internal Sinyal Echo Radar Presipitasi Dengan Low Pass Filter

, 2012
Makalah ini akan membahas tentang pengembangan metode pengolahan sinyal dengan memanfaatkan sinyal radar kapal untuk mendeteksi presipitasi. Sinyal echo dari radar mengandung nilai balikan (feedback) dari droplet hujan yang dapat dimanfaatkan untuk ...
Ginaldi Ari Nugroho, Soni Aulia Rahayu, Asif Awaludin   +2 more
core  

Performance Prediction and Verification for the Synchronization Link of TanDEM-X

, 2007
Bistatic Synthetic Aperture Radar (SAR) systems have a high potential for scientific, commercial and security applications. One of the benefits is the possibility to generate digital elevation models using bistatic interferometry.
Robert Metzig, Markus Bachmann, Younis, Marwan, Klein, Rainer, Bachmann, Markus, Rainer Klein, Metzig, Robert, Krieger, Gerhard, Marwan Younis, Gerhard Krieger   +9 more
core   +1 more source

Lidar‐Based Object Tracking of Traffic Participants with Sensor Nodes in Existing Urban Infrastructure

Advanced Intelligent Systems, EarlyView.
This paper presents a lidar‐based sensor node design and a rule‐based state observer for edge‐based traffic participant tracking. Unlike other state‐of‐the‐art methods, this state observer enables real‐time, CPU‐only edge processing without relying on machine learning approaches.
Simon Schäfer, Bassam Alrifaee, Ehsan Hashemi   +2 more
wiley   +1 more source

ParamNet: A Physics‐Guided Deep Learning Framework for Intelligent Self‐Inversion of Vacuum Optical Levitation Systems

Advanced Intelligent Systems, EarlyView.
A physics‐guided deep learning framework, ParamNet, is introduced for the intelligent self‐inversion of vacuum optical tweezers. By fuzing dual‐branch time–frequency features with physical dynamical constraints, it achieves high‐accuracy calibration of trap parameters from short‐window, low‐frequency trajectories, outperforming traditional methods ...
Qi Zheng, Wenfeng Fan, Feng Li, Jian Wu, Wei Quan   +4 more
wiley   +1 more source