Wavelet based methods for improved wind profiler signal processing
In this paper, we apply wavelet thresholding for removing automatically ground and intermittent clutter (airplane echoes) from wind profiler radar data. Using the concept of discrete multi-resolution analysis and non-parametric estimation theory, we develop wavelet domain thresholding rules,...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2001-08-01
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| Series: | Annales Geophysicae |
| Online Access: | https://www.ann-geophys.net/19/825/2001/angeo-19-825-2001.pdf |
| Summary: | In this paper, we apply
wavelet thresholding for removing automatically ground and intermittent clutter
(airplane echoes) from wind profiler radar data. Using the concept of discrete
multi-resolution analysis and non-parametric estimation theory, we develop
wavelet domain thresholding rules, which allow us to identify the coefficients
relevant for clutter and to suppress them in order to obtain filtered
reconstructions.<br><br><b>Key words. </b>Meteorology and
atmospheric dynamics (instruments and techniques) – Radio science (remote
sensing; signal processing) |
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| ISSN: | 0992-7689 1432-0576 |