Moment-based estimation for the shape parameters of the Gamma-Gamma atmospheric turbulence model | Zendy

Ning Wang | Zendy; Julian Cheng | Zendy

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Moment-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.

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