Cart (Loading....) | Create Account
Close category search window
 

Channel measurement and estimation for free space optical communications

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Khatoon, A. ; Inst. for Telecommun. Res., Univ. of South Australia, Adelaide, SA, Australia ; Cowley, W.G. ; Letzepis, N.

Free space optical (FSO) communication links experience different fading for longer terrestrial links, which may result in lognormal, Gamma-Gamma or exponentially distributed signals under weak, modarate and strong turbulence. Channel estimation is also corrupted by background and electrical noise. In this paper, we measure the FSO fading distribution from experimental data collected from a 1550nm, 12 km long terrestrial link. Background and electrical noise statistics are found from collected noise data. We also consider the estimation of unknown parameters from FSO channel samples considering the background and electrical noise which are the sum of fading plus Gaussian noise. We determine the root mean square estimation errors (RMSE) using various methods including the Method of Moments (MOM) and iterative Maximum Likelihood (ML) estimations. We evaluate the Cramer-Rao Bounds (CRB) for these problems. We compare our estimation technique performance with existing methods of estimation which ignore Gaussian noise. The new estimation technique which takes noise into account shows significant performance improvement in the low signal to noise ratio (SNR) region. We also compare the estimation performance under varying number of channel samples. We use a single dimension approach where only one parameter is estimated at once.

Published in:

Communications Theory Workshop (AusCTW), 2011 Australian

Date of Conference:

Jan. 31 2011-Feb. 3 2011

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.