Maximum Likelihood Estimation of the Lognormal-Rician FSO Channel Model

Author

Luanxia Yang ; Cheng, Julian ; Holzman, Jonathan F.

Author_Institution

Sch. of Eng., Univ. of British Columbia, Kelowna, BC, Canada

Volume

27

Issue

15

fYear

2015

fDate

Aug.1, 1 2015

Firstpage

1656

Lastpage

1659

Abstract

In this letter, the on-going challenges are addressed for the application of the lognormal-Rician turbulence model to free-space optical communication systems. Maximum likelihood estimation is applied to characterize the lognormal-Rician turbulence model parameters, and the expectation-maximization algorithm is used to compute maximum likelihood estimates of the unknown parameters. The performance is investigated, by way of the mean square error, and it is found that the proposed technique can accurately characterize free-space optical communication channels over a wide range of turbulence conditions, with reduced demand on the quantity of data samples.

Keywords

atmospheric turbulence; expectation-maximisation algorithm; maximum likelihood estimation; mean square error methods; optical communication; telecommunication channels; expectation-maximization algorithm; free-space optical communication systems; lognormal-Rician FSO channel model; lognormal-Rician turbulence model; maximum likelihood estimation; mean square error; parameter estimation; Adaptive optics; Atmospheric modeling; Fading; Maximum likelihood estimation; Noise measurement; Optical fiber communication; Free-space optical communications; lognormal- Rician turbulence model; lognormal-Rician turbulence model; maximum likelihood estimation;

fLanguage

English

Journal_Title

Photonics Technology Letters, IEEE

Publisher

ieee

ISSN

1041-1135

Type

jour

DOI

10.1109/LPT.2015.2433871

Filename

7109129