Advanced spectral processing for dual polarization weather radars
This thesis focuses on the importance of spectral-domain processing and analysis in weather radar applications such as sea-clutter mitigation and the study of rain-hail mixtures in severe storms. An advanced spectral filtering technique has been proposed that helps in obtaining precipitation spectrum thus helping us to filter sea clutter and also carefully study the spectrum of different rain and hail cases in severe storms. Traditionally, time-domain auto-correlation techniques are used for the estimation of dual-polarization radar moments from the time series data. With the advent of low cost ...
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