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Prediction of Atmospheric Duct Conditions from a Clutter Power Spectrum Using Deep Learning

This paper presents a method for predicting atmospheric duct conditions from a clutter power spectrum using deep learning. To accurately predict the duct conditions, deep learning with a binary classification is applied to the proposed refractivity from the clutter (RFC) method. The input data set i...

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Autori principali: Taekyeong Jin, Jeongmin Cho, Doyoung Jang, Hosung Choo
Natura: Artigo
Lingua:Inglês
Pubblicazione: MDPI AG 2024-02-01
Serie:Remote Sensing
Soggetti:
radio propagation
radar
deep learning
RFC
binary classification
clutter power
Accesso online:https://www.mdpi.com/2072-4292/16/4/674
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