Abstract
Radar echoes detected by Doppler weather radar are often interfered by some non-meteorological factors, which affects the quantitative application of radar data. Therefore, it is necessary to control the quality of radar data before its application. In this paper, a fuzzy logical based algorithm is proposed to suppress the remaining ground clutter from base data of X-band Doppler weather. Three discriminative features are proposed to identify ground clutter from meteorological echoes. Corresponding membership functions are designed according to the probability distribution of the features in labeled radar data. The algorithm is evaluated by statistical measurements of reflectivity of X-band radar located in Fang-Shan, Beijing before and after ground clutter suppression. Simulation results show that the algorithm can identify remaining ground clutter correctly.
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