DocumentCode
1134393
Title
An Algorithm for AGC Optimization in MLSE Dispersion Compensation Optical Receivers
Author
Stojanovic, Nebojsa
Author_Institution
CoreOptics, Nuremberg
Volume
55
Issue
9
fYear
2008
Firstpage
2841
Lastpage
2847
Abstract
Communication systems are designed to provide reliable transmission of information and to cope with various channel imperfections. The amplitude of the received signal is attenuated depending on length and type of the transmission channel. Usually, automatic gain control is placed before the clock recovery in the receiver to combat signal power/swing variations. Optical channel impairments caused by chromatic dispersion, polarization mode dispersion, self-phase modulation, etc. can be efficiently compensated by the use of maximum-likelihood sequence estimation receivers. This paper describes an efficient AGC gain adjustment procedure using a gain control parameter that provides almost the optimum MLSE performance. A gradient algorithm is used to minimize the gain control parameter. Simulation results of 10.7 Gb/s intensity-modulated direct-detection nonreturn-to-zero optical channels disturbed by noise and chromatic dispersion show the advantage of the proposed algorithm.
Keywords
automatic gain control; gradient methods; maximum likelihood detection; maximum likelihood estimation; optical dispersion; optical receivers; telecommunication control; AGC gain; AGC optimization; MLSE dispersion compensation optical receivers; automatic gain control; bit rate 10.7 Gbit/s; chromatic dispersion; clock recovery; gain control parameter; gradient algorithm; intensity-modulated direct-detection; maximum-likelihood sequence estimation receiver; nonreturn-to-zero optical channel; polarization mode dispersion; self-phase modulation; signal power-swing variation; transmission channel; Automatic gain control; Automatic gain control (AGC); equalization; optical systems; variable gain amplifier;
fLanguage
English
Journal_Title
Circuits and Systems I: Regular Papers, IEEE Transactions on
Publisher
ieee
ISSN
1549-8328
Type
jour
DOI
10.1109/TCSI.2008.922021
Filename
4490300
Link To Document