Abstract
The challenge of processing incoherent sets of radar echoes to estimate the Doppler moments and noise standard deviation from precipitation with a fast-scanning radar is addressed. The recently proposed maximum likelihood parametric Doppler spectrum estimator (PSE) is extended to accommodate the noise standard deviation along with the Doppler moments in the parametric model of the Doppler power spectral density (PSD). Its performance in estimating the Doppler moments and the noise standard deviation is compared with another maximum likelihood approach. The proposed approach has a smaller bias in the estimation of the noise standard deviation for a wide range of spectral widths on simulated data. The algorithm is verified on experimental data from a fast-scanning weather radar.
| Original language | English |
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| Title of host publication | Proceedings of the 4th URSI Atlantic RadioScience Conference – AT-RASC 2024 |
| Number of pages | 4 |
| ISBN (Electronic) | 978-9-4639-6-8102 |
| DOIs | |
| Publication status | Published - 2024 |
| Event | 4th URSI Atlantic RadioScience Conference - Gran Canaria, Spain Duration: 19 May 2024 → 24 May 2024 Conference number: 4 |
Publication series
| Name | 2024 4th URSI Atlantic Radio Science Meeting, AT-RASC 2024 |
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Conference
| Conference | 4th URSI Atlantic RadioScience Conference |
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| Abbreviated title | AT-RASC 2024 |
| Country/Territory | Spain |
| City | Gran Canaria |
| Period | 19/05/24 → 24/05/24 |
Bibliographical note
Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-careOtherwise 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.