Results 71 to 80 of about 22,466 (253)

Experimental Results of a 3D Millimeter-Wave Compressive-Reflector-Antenna Imaging System

open access: yes, 2018
This letter presents the first experimental results of our three-dimensional (3D) millimeter-wave (mm-wave) Compressive-Reflector-Antenna (CRA) imaging system.
Bisulco, A.   +7 more
core   +1 more source

Coherence Cloning Using Semiconductor Laser Optical Phase-Lock Loops [PDF]

open access: yes, 2009
We demonstrate the concept of coherence cloning where the coherence properties of a high-quality spectrally stabilized fiber laser are transferred to a commercially available high-power DFB semiconductor laser (SCL) using an optical phase-lock loop.
Liang, Wei, Satyan, Naresh, Yariv, Amnon
core   +1 more source

Joint MobileViT and Knowledge Distillation Network for Hand Gesture Recognition via mmWave Radar

open access: yesIET Signal Processing, Volume 2026, Issue 1, 2026.
Hand gesture recognition using mmWave radar has emerged as a promising technology for human–computer interaction (HCI), smart home systems, and the Internet of Things (IoT). However, the practical application of this technology is often constrained by the high computational complexity and significant storage demands of contemporary deep neural networks,
Xiangqun Zhang   +6 more
wiley   +1 more source

Advancements in Key Parameters of Frequency-Modulated Continuous-Wave Light Detection and Ranging: A Research Review

open access: yesApplied Sciences
As LiDAR technology progressively advances, the capability of radar in detecting targets has become increasingly vital across diverse domains, including industrial, military, and automotive sectors.
Zibo Wu   +15 more
doaj   +1 more source

FMCW lidar for multiple-target sounding

open access: yesSPIE Proceedings, 2010
Continuous-Wave lidars are constantly evolving in order to achieve the best performances with low power and low cost. Frequency-modulated continuous-wave (FMCW) lidar is a well-known type of lidar used for solid-target detection and ranging with high spatial resolution.
Batet Torrell, Óscar   +2 more
openaire   +2 more sources

What's Next for Snow: Insights From the NASA Terrestrial Hydrology Program Community Snow Meeting

open access: yesEarth's Future, Volume 13, Issue 12, December 2025.
Abstract Earth's snow cover strongly influences the climate system and represents an important resource for agricultural, industrial, and domestic water use. The last decade of snow‐focused research has improved our understanding of snow across scales. These efforts have culminated in new snow measurement instruments and methods, operational models for
Kate Hale   +9 more
wiley   +1 more source

Super-Resolution Angle Estimation Algorithm using Low Complexity MUSIC-Based RELAX for MIMO FMCW Radar [PDF]

open access: yesJournal of Electromagnetic Engineering and Science
A novel super-resolution angle estimation algorithm using low complexity-multiple signal classification (LC-MUSIC)-based relaxation (RELAX) for multiple-input multiple-output (MIMO) frequency-modulated continuous-wave (FMCW) radar is proposed in this ...
Bong-Seok Kim   +4 more
doaj   +1 more source

FMCW RADAR SYSTEM FOR TRANSPONDER IDENTIFICATION

open access: yesProgress In Electromagnetics Research B, 2018
—In this paper, we deal with a frequency modulated continuous wave (FMCW) radar used for localizing and tracking targets by frequency evaluation of the received radar beat signal. The radar system achieved with a primary radar (reader) and a secondary radar (transponder) is addressed as super high frequency (SHF) radio frequency identification (RFID ...
Bouhlel, Nizar   +3 more
openaire   +4 more sources

A 220-to-320-GHz FMCW Radar in 65-nm CMOS Using a Frequency-Comb Architecture

open access: yesIEEE Journal of Solid-State Circuits, 2021
This article presents a CMOS-based, ultra-broadband frequency-modulated continuous-wave (FMCW) radar using a terahertz (THz) frequency-comb architecture.
Xiang Yi   +5 more
semanticscholar   +1 more source

Leveraging Sparse Autoencoders to Reveal Interpretable Features in Geophysical Models

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 2, Issue 4, December 2025.
Abstract Machine learning is an increasingly popular tool in the geosciences, offering new approaches to numerical weather prediction and complex data set analysis. However, as reliance on these techniques grows, pressing questions about model transparency, internal biases, and trust emerge.
Fraser King   +4 more
wiley   +1 more source

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