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

8Citations
Citations of this article
8Readers
Mendeley users who have this article in their library.

Abstract

<p><strong>Abstract.</strong> 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.</p>

Cite

CITATION STYLE

APA

Lehmann, V., & Teschke, G. (2008). Advanced intermittent clutter filtering for radar wind profiler: Signal separation through a Gabor frame expansion and its statistics. Annales Geophysicae, 26(4), 759–783. https://doi.org/10.5194/angeo-26-759-2008

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free