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Parametric Estimation of Elevation-Doppler Profiles with Phased Array Radar for Precipitation

Conference Paper (2025)
Author(s)

T.K. Dash (TU Delft - Microwave Sensing, Signals & Systems)

O.A. Krasnov (TU Delft - Microwave Sensing, Signals & Systems)

J.N. Driessen (TU Delft - Microwave Sensing, Signals & Systems)

Alexander Yarovoy (TU Delft - Microwave Sensing, Signals & Systems)

Microwave Sensing, Signals & Systems
DOI related publication
https://doi.org/10.23919/EuRAD65285.2025.11234103
More Info
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Publication Year
2025
Language
English
Microwave Sensing, Signals & Systems
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository as part of the Taverne amendment. More information about this copyright law amendment can be found at https://www.openaccess.nl. Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.@en
Pages (from-to)
169-172
ISBN (print)
979-8-3315-3649-7
ISBN (electronic)
978-2-87487-083-5
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

A novel approach for estimating the elevation-Doppler profiles for precipitation using phased array radars is presented. The proposed technique is parametric, where a semi-analytical model of the Power Spectral Density (PSD) as a function of the normalized Doppler velocities and the elevation profiles of the Doppler moments is used as a reference. The inverse problem of jointly estimating the Doppler moments at each elevation angle is addressed using the maximum likelihood estimation (MLE). The proposed technique is compared with the traditional non-parametric techniques using synthetic radar echoes and shown to be superior to these traditional techniques.

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