DocumentCode :
1214861
Title :
Optimization of Branch Metric Exponent and Quantization Range in MLSE Receivers for Duobinary Systems
Author :
Bosco, G. ; Cano, I. ; Curri, V. ; Poggiolini, P.
Author_Institution :
Dipt. di Elettron., Politec. di Torino, Turin
Volume :
20
Issue :
11
fYear :
2008
fDate :
6/1/2008 12:00:00 AM
Firstpage :
924
Lastpage :
926
Abstract :
We analyze by simulation the performance of an optically amplified uncompensated duobinary system using a 64-state maximum-likelihood sequence estimation (MLSE) receiver (Rx) based on a Euclidean branch metric with variable postdetection nonlinear distortion exponent. We found that the optimum exponent depends on the accumulated dispersion, the Rx analog-to-digital converter (ADC) resolution, and signal clipping. On the other hand, we found performance to be weakly dependent on the exponent value. When using a finite number of ADC resolution bits, drastic signal clipping proved very beneficial in improving the performance of the MLSE processor. Assuming three resolution bits, with joint clipping and exponent optimization, uncompensated transmission at 10.7 Gb/s over 550 km of standard single-mode fiber could be achieved with essentially no penalty with respect to back-to-back.
Keywords :
maximum likelihood sequence estimation; nonlinear distortion; optical receivers; quantisation (signal); signal detection; ADC resolution; Euclidean branch metric; MLSE processor; MLSE receivers; analog-to-digital converter resolution; bit rate 10.7 Gbit/s; branch metric exponent; distance 550 km; maximum-likelihood sequence estimation receiver; quantization range; signal clipping; single-mode fiber; uncompensated duobinary system; variable postdetection nonlinear distortion exponent; Analytical models; Fiber nonlinear optics; Maximum likelihood estimation; Nonlinear optics; Optical distortion; Optical receivers; Performance analysis; Quantization; Signal resolution; Stimulated emission; Clipping; Euclidean metric; maximum-likelihood sequence estimation (MLSE); receiver (Rx) filters; square root (SQRT) metric; uncompensated systems;
fLanguage :
English
Journal_Title :
Photonics Technology Letters, IEEE
Publisher :
ieee
ISSN :
1041-1135
Type :
jour
DOI :
10.1109/LPT.2008.922369
Filename :
4515983
Link To Document :
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