Results 81 to 90 of about 45,007 (228)

Empirical Comparison of Chirp and Multitones on Experimental UWB Software Defined Radar Prototype [PDF]

open access: yes, 2012
This paper proposes and tests an approach for an unbiased study of radar waveforms' performances. Using the ultrawide band software defined radar prototype, the performances of Chirp and Multitones are compared in range profile and detection range.
Denoulet, J.   +3 more
core  

Investigation on the Coherent Component of SHARAD Surface Echo and Surface Roughness: Scaling Behavior and Influence of Hurst Exponent

open access: yesEarth and Space Science, Volume 13, Issue 2, February 2026.
Abstract The radar surface echo can be separated into coherent and incoherent components by statistical approaches, and the coherent component can be described by a backscattering model related to the RMS height. According to backscattering models for fractal surfaces, the coherent power in decibels decreases with RMS height on a scale independent of ...
Tiansheng Hong   +9 more
wiley   +1 more source

Radar-Centric AFDM Waveform With Chirp-Domain Index Modulation for ISAC

open access: yesIEEE Open Journal of the Communications Society
This paper presents a radar-centric framework for integrated sensing and communication (ISAC) that utilizes affine frequency-division multiplexing (AFDM).
Muneeb Ahmad   +2 more
doaj   +1 more source

Testing Volcano Deformation Models Against 3D Seismic Reflection Imagery of Ancient Intrusions

open access: yesJournal of Geophysical Research: Solid Earth, Volume 131, Issue 2, February 2026.
Abstract Magma intrusion often drives uplift of the overburden and free surface. Analytical modeling of such surface uplift at active volcanoes allows us to estimate intrusion geometries and positions, as well as volume and pressure changes; these insights have proven critical to forecasting volcanic unrest and eruptions. However, it is rarely possible
C. Magee, S. K. Ebmeier, J. Hickey
wiley   +1 more source

Measurements of Partial Reflections at 3.18 Mhz Using the CW Radar Technique [PDF]

open access: yes, 1984
An equipment for measuring partial reflections using the FM-CW-radar principle at 3.18 MHz, installed at the Ionospheric Observatory Juliusruh of the CISTP (HHI), is described.
Priese, J., Singer, W.
core   +1 more source

Machine Learning Approximations for Fast and Accurate Prediction of Nonlinear Four‐Wave Interactions in Spectral Wave Models

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 1, February 2026.
Abstract Operational wave forecasting requires a delicate balance between the accuracy and computational speed of the spectral wave model used, in which the nonlinear wave–wave interaction “source” term plays an important role. The exact formulation of these nonlinear four‐wave interactions requires solving the six‐dimensional Boltzmann integral, an ...
Jialun Chen   +4 more
wiley   +1 more source

An active jamming recognition algorithm based on ER-C-L network model [PDF]

open access: yesZhihui kongzhi yu fangzhen
To solve the problem of low recognition accuracy of radar active jamming in strong noise environment,an algorithm for ER-C-L(Extended ResNet-CNN-LSTM) network model based on one-dimensional composite features is proposed.
ZHAO Zhongchen, LIU Limin, XIE Hui, HAN Zhuangzhi, JING He
doaj   +1 more source

Flight testing a V/STOL aircraft to identify a full-envelope aerodynamic model [PDF]

open access: yes
Flight-test techniques are being used to generate a data base for identification of a full-envelope aerodynamic model of a V/STOL fighter aircraft, the YAV-8B Harrier.
Bach, Ralph E., Jr., Mcnally, B. David
core   +1 more source

SynQPF‐Net: Short‐Term Precipitation Forecasts by Integrating GraphCast Predictions and High‐Resolution Observational Analyses

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 1, February 2026.
Abstract While data‐driven global weather models (e.g., GraphCast) excel at large‐scale circulation forecasts, they exhibit systematic biases in heavy precipitation prediction due to European Centre for Medium‐Range Weather Forecasts Reanalysis (ERA5) uncertainties and neural networks' tendency to over‐smooth rainfall fields.
Dandan Chen, Dan Yao, Yaqiang Wang
wiley   +1 more source

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