Open AccessMoment-based estimation for the shape parameters of the Gamma-Gamma atmospheric turbulence model
Author(s) -
Ning Wang,
Julian Cheng
Publication year - 2010
Publication title -
optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.18.012824
Subject(s) - gamma distribution , generalized gamma distribution , turbulence , range (aeronautics) , estimation theory , physics , optics , inverse gamma distribution , gamma correction , moment (physics) , free space optical communication , statistical physics , algorithm , atmospheric turbulence , computer science , computational physics , optical communication , mathematics , probability distribution , artificial intelligence , statistics , classical mechanics , mechanics , image (mathematics) , materials science , distribution fitting , inverse chi squared distribution , composite material
We study the parameter estimation problem for the Gamma-Gamma turbulence model for free-space optical communication. An estimation scheme for the shape parameters of the Gamma-Gamma distribution is proposed based on the concept of fractional moments and convex optimization. To improve the estimation performance, we further propose a modified scheme which exploits the relationship between the Gamma-Gamma shape parameters in free-space optical communication. Simulation results reveal that the modified estimation scheme can achieve satisfactory performance for a wide range of turbulence conditions.