Advanced intermittent clutter filtering for radar wind profiler: signal separation through a Gabor frame expansion and its statistics
A new signal processing method is presented for the suppression of intermittent clutter echoes in radar wind profilers. This clutter type is a significant problem during the seasonal bird migration and often results in large discrepancies between profiler wind measurements and independent referenc...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2008-05-01
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| Series: | Annales Geophysicae |
| Online Access: | https://www.ann-geophys.net/26/759/2008/angeo-26-759-2008.pdf |
| Summary: | A new signal processing method is presented for the suppression of intermittent clutter echoes in radar
wind profilers. This clutter type is a significant problem during the seasonal bird migration and often
results in large discrepancies between profiler wind measurements and independent reference data. The
technique presented makes use of a discrete Gabor frame expansion of the coherently averaged time series
data in combination with a statistical filtering approach to exploit the different signal
characteristics between signal and clutter. The rationale of this algorithm is outlined and the
mathematical methods used are presented in due detail. A first test using data obtained with an
operational 482 MHz wind profiler indicates that the method outperforms the previously used clutter
suppression algorithm. |
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| ISSN: | 0992-7689 1432-0576 |