Results 31 to 40 of about 31,514 (297)

Adaptive detection of distributed targets in compound-Gaussian noise without secondary data: A Bayesian approach [PDF]

open access: yes, 2011
In this paper, we deal with the problem of adaptive detection of distributed targets embedded in colored noise modeled in terms of a compound-Gaussian process and without assuming that a set of secondary data is available.The covariance matrices of the ...
Bandiera, Francesco   +2 more
core   +1 more source

Overview and Prospects of Radar Sea Clutter Measurement Experiments

open access: yesLeida xuebao, 2019
In complex marine environments, sea clutter greatly affects the detection performance of maritime targets. Because the influencing factors of sea clutter are numerous and the mechanism is complex, there are great difficulties in feature description and ...
DING Hao   +4 more
doaj   +1 more source

Bayesian statistical analysis of ground-clutter for the relative calibration of dual polarization weather radars [PDF]

open access: yes, 2016
A new data processing methodology, based on the statistical analysis of ground-clutter echoes and aimed at investigating the stability of the weather radar relative calibration, is presented.
Falconi, MARTA TECLA   +2 more
core   +1 more source

Chaotic modelling of sea clutter

open access: yesElectronics Letters, 1992
In the letter we present calculations based on experimental radar data which confirm the chaotic nature of sea clutter. In particular, the results of the calculations show that the first Lyapunov exponent of sea clutter is indeed positive and around 0.015. Such a result is an inherent characteristic of a chaotic process.
He Nan, Haykin S.
openaire   +1 more source

Sea Clutter Suppression Method Based on Ocean Dynamics Using the WRF Model

open access: yesJournal of Marine Science and Engineering
Sea clutter introduces a significant amount of non-target reflections in the echo signals received by radar, complicating target detection and identification.
Guigeng Li   +4 more
doaj   +1 more source

Prediction of Sea Surface Reflectivity under Different Sea Conditions Based on the Clustering of Marine Environmental Parameters

open access: yesRemote Sensing, 2023
The high-precision prediction of sea clutter reflectivity is helpful in improving the performance of marine radar and sea surface remote sensing capabilities.
Yalan Li   +5 more
doaj   +1 more source

Sea Clutter Suppression Method Based on Correlation Features

open access: yesJournal of Marine Science and Engineering
Radar target detection in a sea clutter environment is of significant importance in both civilian and military applications, with the detection of small maneuvering targets being particularly challenging.
Zhen Li   +5 more
doaj   +1 more source

Experimental analysis of multistatic multiband radar signatures of wind turbines [PDF]

open access: yes, 2016
This study presents the analysis of recent experimental data acquired using two radar systems at S-band and X-band to measure simultaneous monostatic and bistatic signatures of operational wind turbines near Shrivenham, UK.
Balleri, Alessio   +3 more
core   +2 more sources

Sea Clutter Suppression Based on Chaotic Prediction Model by Combining the Generator and Long Short-Term Memory Networks

open access: yesRemote Sensing
Sea clutter usually greatly affects the target detection and identification performance of marine surveillance radars. In order to reduce the impact of sea clutter, a novel sea clutter suppression method based on chaos prediction is proposed in this ...
Jindong Yu   +6 more
doaj   +1 more source

PASTA‐ELN: Simplifying Research Data Management for Experimental Materials Science

open access: yesAdvanced Engineering Materials, EarlyView.
Research data management faces ongoing hurdles as many ELNs remain complex and restrictive. PASTA‐ELN offers an open‐source, cross‐platform solution that prioritizes simplicity, offline access, and user control. Its in tuitive folder structure, modular Python add‐ons, and open formats enable seamless documentation, FAIR data practices, and easy ...
S. Brinckmann, G. Winkens, R. Schwaiger
wiley   +1 more source

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