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A new signal processing method is presented for the suppression of intermittent clutter echoes in radarwind profilers. This clutter type is a significant problem during the seasonal bird migration and oftenresults in large discrepancies between profiler wind measurements and independent reference data. Thetechnique presented makes use of a discrete Gabor frame expansion of the coherently averaged time seriesdata in combination with a statistical filtering approach to exploit the different signalcharacteristics between signal and clutter. The rationale of this algorithm is outlined and themathematical methods used are presented in due detail. A first test using data obtained with anoperational 482 MHz wind profiler indicates that the method outperforms the previously used cluttersuppression algorithm

Advanced intermittent clutter filtering for radar wind profiler: signal separation through a Gabor frame expansion and its statistics