Experimental study of atmosphere turbulence by using bispectral analysis
Виктория Владимировна Науменко, Oleksandr Totsky, Grygoriy Khlopov, O. A. Voitovich · 2014
Novel bispectrum-based signal processing technique is proposed for analysis of turbulence in atmosphere. Classification features obtained from magnitude bispectrum estimations are represented for recognition and discrimination of laminar and turbulent clouds. Results of experimental study performed by non-coherent double-frequency weather radar are presented.