Precipitation Doppler Spectrum Reconstruction With Gaussian Process Prior
T.K. Dash (TU Delft - Microwave Sensing, Signals & Systems)
H. Driessen (TU Delft - Microwave Sensing, Signals & Systems)
Oleg A. Krasnov (TU Delft - Microwave Sensing, Signals & Systems)
A. G. Yarovoy (TU Delft - Microwave Sensing, Signals & Systems)
More Info
expand_more
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
The challenge of reconstructing the Doppler spectrum of a precipitation-like event observed by a fast-scanning weather radar is addressed. A novel method is proposed where the echo sequence in time is assumed to be a complex Gaussian process with a known covariance structure. It is a two-step approach where the first step is the estimation of the hyperparameters of the covariance function with a maximum likelihood approach, and the second step is the reconstruction of the spectrum directly in the time or spectral domain. The proposed approach is applied to simulated data for hyper-parameter estimation performance analysis and real radar data for the complete Doppler spectrum reconstruction.
help_outline