Experimental study of atmosphere turbulence by using bicoherence-based signal processing technique

Novel bispectrum-based signal processing technique is proposed for analysis of turbulence contained in the atmosphere. Novel classification features evaluated in the form of bicoherence estimates of the weather radar signals backscattered by volume-distributed atmospheric formations are suggested for solving the discrimination problem of the safe laminar meteorological formations and zones of turbulence dangerous for the aircraft flights. Results of experimental measurements performed by non-coherent double-frequency weather radar operating in millimeter and centimeter wavelength ranges are represented and discussed.