Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Chinese Optics Letters
  • Vol. 11,
  • Issue 11,
  • pp. 110601-
  • (2013)

Fiber-based optical parametric amplif ier for 40-Gb/s NRZ-DPSK signal transmission system employing QC-LDPC codes

Not Accessible

Your library or personal account may give you access

Abstract

In this letter, we investigate quasi-cyclic low-density parity-check (QC-LDPC) codes in a 40-Gb/s nonreturn-to-zero differential phase-shift keying (NRZ-DPSK) signal transmission system based on a fiber-based optical parametric amplifier (FOPA). A constructed algorithm of QC-LDPC codes according to the optimizing set of shift values on the circulant permutation matrix (CPM) of the basis matrix is proposed. Simulation results prove that the coding gain in the encoded system can be realized at 10.2 dB under QC-LDPC codes with a code rate of 5/6 when the bit error rate (BER) is 10-9. In addition, the error-floor level originating from the uncoded system is suppressed.

© 2013 Chinese Optics Letters

PDF Article
More Like This
Run-time reconfigurable adaptive LDPC coding for optical channels

Xiaole Sun, Ding Zou, Zhen Qu, and Ivan B. Djordjevic
Opt. Express 26(22) 29319-29329 (2018)

Experimental study of non-binary LDPC coding for long-haul coherent optical QPSK transmissions

Shaoliang Zhang, Murat Arabaci, Fatih Yaman, Ivan B. Djordjevic, Lei Xu, Ting Wang, Yoshihisa Inada, Takaaki Ogata, and Yasuhiro Aoki
Opt. Express 19(20) 19042-19049 (2011)

Optical LDPC decoders for beyond 100 Gbits/s optical transmission

Ivan B. Djordjevic, Lei Xu, and Ting Wang
Opt. Lett. 34(9) 1420-1422 (2009)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.