OSA's Digital Library

Journal of Lightwave Technology

Journal of Lightwave Technology

| A JOINT IEEE/OSA PUBLICATION

  • Vol. 31, Iss. 9 — May. 1, 2013
  • pp: 1347–1353

A New Method for Maximum Likelihood Parameter Estimation of Γ-Γ Distribution

Mahdi Kazeminia and Mehri Mehrjoo

Journal of Lightwave Technology, Vol. 31, Issue 9, pp. 1347-1353 (2013)


View Full Text Article

Acrobat PDF (1248 KB)





Browse Journals / Lookup Meetings

Browse by Journal and Year


   


Lookup Conference Papers

Close Browse Journals / Lookup Meetings

Article Tools

Share
Citations
  • Export Citation/Save Click for help

Abstract

We propose a method to obtain the maximum likelihood (ML) parameter estimation of the Γ-Γ (\Γ-\Γ) distribution representing the free space optical (FSO) channel irradiance fluctuations. The proposed method is based on the expectation maximization (EM) algorithm and the generalized Newton method using a non-quadratic approximation. The numerical results show that, for all turbulence conditions, the proposed ML method is more accurate than the fractional moments (FMOM) method and the numerical ML method (two dimensional numerical maximization of log-likelihood function using the Nelder-Mead algorithm). Moreover, the proposed ML is a fast and stable iterative method, because the iterations always converge to the global optimum with high convergence rate.

© 2013 IEEE

Citation
Mahdi Kazeminia and Mehri Mehrjoo, "A New Method for Maximum Likelihood Parameter Estimation of Γ-Γ Distribution," J. Lightwave Technol. 31, 1347-1353 (2013)
http://www.opticsinfobase.org/jlt/abstract.cfm?URI=jlt-31-9-1347

You do not have subscription access to this journal. Citation lists with outbound citation links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Log in to access OSA Member Subscription

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Log in to access OSA Member Subscription

Next Article »

OSA is a member of CrossRef.

CrossCheck Deposited