Journal
JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY
Volume 23, Issue 9, Pages 1206-1222Publisher
AMER METEOROLOGICAL SOC
DOI: 10.1175/JTECH1913.1
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This paper explores the removal of normal ground echoes (GREs) and anomalous propagation (AP) in ground-based radars using a fuzzy logic approach. Membership functions and their weights are derived from the characteristics of radar echoes as a function of radar reflectivity. The dependence on echo intensity is shown to significantly improve the proper identification of GRE/AP. In addition, the proposed method has a better performance at lower elevation angles. The overall performance is comparable with that from a polarimetric approach and can thus be easily implemented in operational radars.
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