• 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