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https://hdl.handle.net/2440/82803
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Type: | Conference paper |
Title: | Clutter identification for weather radars: CPA, TDBZ and wavelet comparisons |
Author: | Nguyen, S. Yang, R. Gray, D. May, P. |
Citation: | Proceedings of the International Conference on Radar, RADAR 2013, 9-12 September 2013, Adelaide, Australia: pp.262-267 |
Publisher: | IEEE |
Publisher Place: | USA/CD |
Issue Date: | 2013 |
ISBN: | 9781467351775 |
Conference Name: | International Conference on Radar (2013 : Adelaide, Australia) |
Statement of Responsibility: | Si T N Nguyen, Ruiting Yang and Douglas A Gray, Peter T. May |
Abstract: | Ground clutter can seriously degrade the performance of weather radars at low elevation. Algorithms such as the clutter phase alignment (CPA) and texture of reflectivity (TBDZ) are commonly used to identify regions of range-azimuth weather radar maps containing ground clutter. In this paper the use of a wavelet based approach is proposed and experimental ROC curves comparing the performance of the three approaches on data from a typical C-band weather radar are compared. |
Keywords: | Weather radar clutter identification CPA TDBZ wavelets |
Rights: | © 2013 IEEE |
DOI: | 10.1109/RADAR.2013.6651996 |
Published version: | http://dx.doi.org/10.1109/radar.2013.6651996 |
Appears in Collections: | Aurora harvest Electrical and Electronic Engineering publications |
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