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A Method for Efficient Implementation of a Radial-Based Noise Power Estimator for Weather Radars

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  • 1 a Research Institute in Electronics, Control and Signal Processing, UNLP-CONICET, La Plata, Argentina
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Abstract

In a previous work, a weather radar algorithm with low computational cost was developed to estimate the background noise power from the data collected at each radial. The algorithm consists of a sequence of steps designed to identify signal-free range volumes that are subsequently used to estimate the noise power. In this paper, we derive compact, closed-form expressions to replace the numerical formulations used in the first two steps of the algorithm proposed in the original paper. The goal is to facilitate efficient implementation of the algorithm.

© 2021 American Meteorological Society. For information regarding reuse of this content and general copyright information, consult the AMS Copyright Policy (www.ametsoc.org/PUBSReuseLicenses).

Corresponding author: Martin Hurtado, martin.hurtado@ing.unlp.edu.ar

Abstract

In a previous work, a weather radar algorithm with low computational cost was developed to estimate the background noise power from the data collected at each radial. The algorithm consists of a sequence of steps designed to identify signal-free range volumes that are subsequently used to estimate the noise power. In this paper, we derive compact, closed-form expressions to replace the numerical formulations used in the first two steps of the algorithm proposed in the original paper. The goal is to facilitate efficient implementation of the algorithm.

© 2021 American Meteorological Society. For information regarding reuse of this content and general copyright information, consult the AMS Copyright Policy (www.ametsoc.org/PUBSReuseLicenses).

Corresponding author: Martin Hurtado, martin.hurtado@ing.unlp.edu.ar

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