Abstract

The performance of optical mode division multiplexer (MDM) is affected by inter-symbol interference (ISI), which arises from higher-order mode coupling and modal dispersion in multimode fiber (MMF). Existing equalization algorithms in MDM can mitigate linear channel impairments, but cannot tackle nonlinear channel impairments accurately. Therefore, mitigating the noise in the received signal of MDM in the presence of ISI to recover the transmitted signal is important issue. This paper aims at controlling the broadening of the signal from MDM and minimizing the undesirable noise among channels. A dynamic evolving neural fuzzy inference system (DENFIS) equalization scheme has been used to achieve this objective. Results illustrate that nonlinear DENFIS equalization scheme can improve the received distorted signal from an MDM with better accuracy than previous linear equalization schemes such as recursive‐least‐square (RLS) algorithm. Desirably, this effect allows faster data transmission rate in MDM. Additionally, the successful offline implementation of DENFIS equalization in MDM encourages future online implementation of DENFIS equalization in embedded optical systems.

Highlights

  • Fibre optic is considered to be the main medium in communication systems that forms the backbone of the Internet [1]

  • This paper proposes an equalization scheme based on dynamic evolving neural-fuzzy inference system (DENFIS) [10] to mitigate the nonlinear dispersion represented by mode coupling and Inter-symbol interference

  • dynamic evolving neural fuzzy inference system (DENFIS) equalization scheme simulated for the distorted signal of three different channels

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Summary

Introduction

Fibre optic is considered to be the main medium in communication systems that forms the backbone of the Internet [1]. Fibre optic has advantages such as speed of transfer rate. Single mode fiber transmission capacity is close to its maximum performance limit [2], especially with the increasing demand on cloud computing, social media and big data applications. Improving the performance of multimode fibre using multiplexer is an promising method to transfer huge data to adhere the global demands for the Internet [3]. Multiplexing techniques are used to provide a better performance of multimode fibre and many multiplexing techniques have been implemented in optical system to increase the capacity of transfer rate. An emerging multiplexing technique called Mode Division Multiplexing (MDM) is a promising technique to improve the performance of multimode fiber and increase the rate of data being transferred [3]. Mode coupling and modal dispersion which causes Inter-Symbol interference (ISI) [1] are inevitable physical issues of mode division

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