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

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

Conference Paper (2025)

Author(s)

T. Dash (Microwave Sensing, Signals & Systems)

O. Krasnov (Microwave Sensing, Signals & Systems)

H. Driessen (Microwave Sensing, Signals & Systems)

A. Yarovoy (Microwave Sensing, Signals & Systems)

Beamforming Maximum Likelihood Estimation Phased Array Weather Radars Elevation-Doppler

DOI related publication

https://doi.org/10.23919/EuRAD65285.2025.11234103 Final published version

To reference this document use

https://resolver.tudelft.nl/uuid:7d045af4-b40a-4364-bd44-a19c48157e2e

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Publication Year

2025

Language

English

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.

Pages (from-to)

169-172

Publisher

IEEE

ISBN (print)

979-8-3315-3649-7

ISBN (electronic)

978-2-87487-083-5

Event

Downloads counter

59

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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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