Publication Date:
2010
abstract:
Abstract - Radar data collected at an experimental facility arranged on purpose suggest that the
footprint of atmospheric turbulence might be encoded in the radar signal statistics. Radar data
probability distributions are calculated and nicely fitted by a one-parameter family of generalized
Gumbel (GG) distributions, Ga. A relation between the wind strength and the measured shape
parameter a is obtained. Strong wind fluctuations return pronounced asymmetric leptokurtic
profiles, while Gaussian profiles are eventually recovered as the wind fluctuations decrease. Besides
stressing the crucial impact of air turbulence for radar applications, we also confirm the adequacy
of Ga statistics for highly correlated complex systems.
Iris type:
01.01 Articolo in rivista
Keywords:
Classical statistical mechanics; Telemetry: remote control; remote sensing; radar; Time series analysis
List of contributors:
Materassi, Massimo
Published in: