Performance comparison of equalization techniques for SI-POF multi-gigabit communication with PAM-M and device non-linearities

Isaac N. Osahon, Sujan Rajbhandari, Wasiu O. Popoola

Research output: Contribution to journalArticlepeer-review

9 Citations (Scopus)
118 Downloads (Pure)


In this paper, Gigabit per second transmission over short-range step-index plastic optical fibre (SI-POF) is implemented with multi-level pulse amplitude modulation (PAM-M) scheme using a laser diode (LD) as the optical source. In particular, the POF channel distortion and the non-linear distortion from the LD are considered. To mitigate these distortions under various PAM-M levels, the bit error rate (BER) performances of the transversal, Volterra and multi-layer perceptron (MLP) based decision feedback equalizers are evaluated and compared. Furthermore, the inverse polynomial technique for non-linear mitigation is also considered. MLP is shown to offer the best BER performance for PAM scheme using more than eight levels especially for a system with high non-linearities. With the MLP equalizer, we record the highest data rate of 3, 7.8, and 18 Gbps for POF lengths of 60, 30, and 10 m, respectively.
Original languageEnglish
Pages (from-to)2301-2308
Number of pages8
JournalJournal of Lightwave Technology
Issue number11
Publication statusPublished - 28 Feb 2018

Bibliographical note

© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.


  • Optical distortion
  • Nonlinear optics
  • Optical fibers
  • Bandwidth
  • Optical modulation
  • Distortion
  • Optical pulses

Fingerprint Dive into the research topics of 'Performance comparison of equalization techniques for SI-POF multi-gigabit communication with PAM-M and device non-linearities'. Together they form a unique fingerprint.

Cite this