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DRIVEN ADAPTIVE IDENTIFICATION AND SUPPRESSION OF GROUND CLUTTER FOR WEATHER RADAR

An innovative approach for the suppression of ground clutter (GC) contributions from weather radar data is presented. Most of the existing adaptive spectral GC filters (GCF) need a prior knowledge of clutter position, strength and its spectral characteristics. This knowledge is irrelevant for the presented approach because the identification and suppression are entirely data driven. The new approach is referred to as data driven ground clutter filtering (DD-GCF). Before presenting this novel DDGCF, we provide a brief summary on the existing relevant methods and on the filtering needs of the future.