Improving bit-error-rate performance of the free-space optical communications system with channel estimation based on radiative transfer theory

In order to improve the performance of terrestrial free-space optical communication systems in adverse visibility conditions, we present a method for estimation of the atmospheric channel impulse response function which governs the optical intensity propagation. This method reduces run-time computat...

Full description

Saved in:
Bibliographic Details
Published in:IEEE journal on selected areas in communications 2009-12, Vol.27 (9), p.1591-1598
Main Authors: Reinhardt, C., Kuga, Y., Jaruwatanadilok, S., Ishimaru, A.
Format: Article
Language:English
Subjects:
Adaptive optics
Atmospheric waves
Channel estimation
Channels
Curve fitting
Droplets
Equalizers
Estimates
Free-space optical communication
free-space optics
Impulse response
Mathematical models
optical communication
Optical distortion
Optical fiber communication
Optical propagation
Optical receivers
Optical scattering
Propagation
Radiative transfer
radiative transfer theory
Studies
Citations: Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In order to improve the performance of terrestrial free-space optical communication systems in adverse visibility conditions, we present a method for estimation of the atmospheric channel impulse response function which governs the optical intensity propagation. This method reduces run-time computational demands and system complexity in comparison to our previously proposed dual-wavelength channel estimation technique. We consider propagation of optical wavelengths in fog, where the droplet diameters are close to the wavelength and thus scattering and absorption effects are significant. A method for rapid calculation of a channel response function based on estimating the effective optical depth of the channel and curve-fitting is described. The channel response estimate can then be used to design a receiver-side equalizer (minimum mean-squared error linear equalizer) to correct the signal distortion due to propagation through the dispersive channel. The channel estimates are based on parametric curve-fitting functions which have been developed using the modified-vector radiative transfer theory to model the channel response. The optimal fit parameters are found using particle-swarm optimization to minimize the simulated bit-error rate of the received signal.
ISSN:0733-8716
1558-0008
DOI:10.1109/JSAC.2009.091209