Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Decision region partition aided MLSE for O-band 65-Gbaud PAM-4 system over 40-km transmission with a severe bandwidth constraint

Not Accessible

Your library or personal account may give you access

Abstract

Maximum likelihood sequence estimation (MLSE) is an optimal solution to realize sequence detection in the digital signal processing (DSP) of short reach O-band intensity modulation/direct detection (IM/DD) systems with bandwidth limitation. However, traditional MLSE requires relatively high computational complexity for short reach optical interconnect. Although the computational complexity of single-symbol sequence detection is quite low, the capability of combating with the inter symbol interference (ISI) is inadequate. To combine the low computational complexity of single-symbol sequence detection with the high reliability of multi-symbol sequence detection in MLSE, decision region partition aided MLSE (DRP-MLSE) is proposed and verified with 60-Gbaud and 65-Gbaud PAM-4 IM/DD systems over 40-km single-mode fiber (SMF) transmission. The experimental results show that the DRP-MLSE can realize similar performance of conventional MLSE with negligible penalty and significantly lower computational complexity.

© 2022 Optica Publishing Group

Full Article  |  PDF Article
More Like This
Complexity curtailed MLSE equalizer based on a compact look-up-table for C-band DSB IM/DD transmission

Zhuo Chen, Xiaoxiao Dai, Junyuan Nie, Shenmao Zhang, Jiahao Zhou, Jing Zhang, Ying Qiu, Ming Luo, Qi Yang, Lei Deng, Mengfan Cheng, Kun Qiu, and Deming Liu
Opt. Lett. 47(21) 5606-5609 (2022)

56-Gb/s/λ C-band DSB IM/DD PAM-4 40-km SSMF transmission employing a multiplier-free MLSE equalizer

Zhuo Chen, Junyuan Nie, Shenmao Zhang, Qi Yang, Xiaoxiao Dai, Lei Deng, Mengfan Cheng, and Deming Liu
Opt. Express 30(7) 11275-11287 (2022)

Data availability

Data underlying the results presented in this paper are not publicly available at this time but may be obtained from the authors upon reasonable request.

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

Figures (6)

You do not have subscription access to this journal. Figure files 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

Tables (2)

You do not have subscription access to this journal. Article tables 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.