Hierarchical deconvolution for incoherent scatter radar data

<p>We propose a novel method for deconvolving incoherent scatter radar data to recover accurate reconstructions of backscattered powers. The problem is modelled as a hierarchical noise-perturbed deconvolution problem, where the lower hierarchy consists of an adaptive length-scale function that...

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Bibliographic Details
Main Authors: S. Ross, A. Arjas, I. I. Virtanen, M. J. Sillanpää, L. Roininen, A. Hauptmann
Format: Article
Language:English
Published: Copernicus Publications 2022-06-01
Series:Atmospheric Measurement Techniques
Online Access:https://amt.copernicus.org/articles/15/3843/2022/amt-15-3843-2022.pdf