Adaptive Algorithms for Doppler Weather Radar

Abstract

New complexx adaptive algorithms of detection and measurement of turbulence intensity in weather formations are proposed. Algorithms are based on calculation of spectrum estimations by using the signals reflected from the adjacent range bins. Statistical hypothesis about the difference between the adjacent or next spectra are checked. The decision-making on distinction of spectra is done by the estimation of RMS velocities of Doppler spectra. Servicability and efficiency of new algorithms proves to be true by using statistical modeling as well as by processing real signals of weather radar.