Detection, Analysis and Mitigation of Sea Clutter in Polarimetric Weather Radar

Abstract

The presence of sea clutter introduces error in weather radar observations over sea. Since the characteristics of sea clutter are different from stationary ground clutter, conventional clutter mitigation techniques produce unsatisfactory results. Hence, study of sea clutter properties and its mitigation is important. Over the last few decades, various research communities have studied and modelled sea clutter using different statistical distributions. This paper discusses identification of sea clutter in a weather radar using fuzzy logic technique. Time series data from an C-band dual-pol weather radar has been used to identify sea clutter in presence of precipitation. Spectral properties and distributions of sea clutter are also studied and a modified GMAP technique has been implemented for the sea clutter suppression.