OSNR monitoring for PM-QPSK systems with large inline chromatic dispersion using artificial neural network technique

Thomas Shun Rong Shen; Qi Sui; Pak Tao Lau

doi:10.1109/LPT.2012.2209413

OSNR monitoring for PM-QPSK systems with large inline chromatic dispersion using artificial neural network technique

Thomas Shun Rong Shen, Qi Sui, Pak Tao Lau

The Hong Kong Polytechnic University

Research output: Journal article publication › Journal article › Academic research › peer-review

26 Citations (Scopus)

Abstract

We propose an optical signal-to-noise ratio (OSNR) monitoring technique for polarization-multiplexed (PM) quadrature phase shift keying (QPSK) systems with large inline chromatic dispersion (CD) based on artificial neural network (ANN) techniques. The transmitted signal is directly detected, and part of the corresponding radio frequency spectrum is used as the input to ANN. Simulation results for 112-Gb/s PM return-to-zero QPSK systems demonstrate an OSNR monitoring range of 12-24 dB in presence of CD up to 27000 ps/nm with a maximum monitoring error of 0.84 dB. Tolerance of the proposed technique on polarization-mode dispersion effects is also investigated.

Original language	English
Article number	6243173
Pages (from-to)	1564-1567
Number of pages	4
Journal	IEEE Photonics Technology Letters
Volume	24
Issue number	17
DOIs	https://doi.org/10.1109/LPT.2012.2209413
Publication status	Published - 27 Aug 2012

Keywords

Artificial neural network (ANN)
optical fiber communication
optical performance monitoring (OPM)
optical signal-to-noise ratio (OSNR)

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Atomic and Molecular Physics, and Optics
Electrical and Electronic Engineering

More information

10.1109/LPT.2012.2209413

Cite this

@article{7061430834cb4bbda92ac4b853029354,

title = "OSNR monitoring for PM-QPSK systems with large inline chromatic dispersion using artificial neural network technique",

abstract = "We propose an optical signal-to-noise ratio (OSNR) monitoring technique for polarization-multiplexed (PM) quadrature phase shift keying (QPSK) systems with large inline chromatic dispersion (CD) based on artificial neural network (ANN) techniques. The transmitted signal is directly detected, and part of the corresponding radio frequency spectrum is used as the input to ANN. Simulation results for 112-Gb/s PM return-to-zero QPSK systems demonstrate an OSNR monitoring range of 12-24 dB in presence of CD up to 27000 ps/nm with a maximum monitoring error of 0.84 dB. Tolerance of the proposed technique on polarization-mode dispersion effects is also investigated.",

keywords = "Artificial neural network (ANN), optical fiber communication, optical performance monitoring (OPM), optical signal-to-noise ratio (OSNR)",

author = "Shen, {Thomas Shun Rong} and Qi Sui and Lau, {Pak Tao}",

year = "2012",

month = aug,

day = "27",

doi = "10.1109/LPT.2012.2209413",

language = "English",

volume = "24",

pages = "1564--1567",

journal = "IEEE Photonics Technology Letters",

issn = "1041-1135",

publisher = "IEEE",

number = "17",

}

TY - JOUR

T1 - OSNR monitoring for PM-QPSK systems with large inline chromatic dispersion using artificial neural network technique

AU - Shen, Thomas Shun Rong

AU - Sui, Qi

AU - Lau, Pak Tao

PY - 2012/8/27

Y1 - 2012/8/27

N2 - We propose an optical signal-to-noise ratio (OSNR) monitoring technique for polarization-multiplexed (PM) quadrature phase shift keying (QPSK) systems with large inline chromatic dispersion (CD) based on artificial neural network (ANN) techniques. The transmitted signal is directly detected, and part of the corresponding radio frequency spectrum is used as the input to ANN. Simulation results for 112-Gb/s PM return-to-zero QPSK systems demonstrate an OSNR monitoring range of 12-24 dB in presence of CD up to 27000 ps/nm with a maximum monitoring error of 0.84 dB. Tolerance of the proposed technique on polarization-mode dispersion effects is also investigated.

AB - We propose an optical signal-to-noise ratio (OSNR) monitoring technique for polarization-multiplexed (PM) quadrature phase shift keying (QPSK) systems with large inline chromatic dispersion (CD) based on artificial neural network (ANN) techniques. The transmitted signal is directly detected, and part of the corresponding radio frequency spectrum is used as the input to ANN. Simulation results for 112-Gb/s PM return-to-zero QPSK systems demonstrate an OSNR monitoring range of 12-24 dB in presence of CD up to 27000 ps/nm with a maximum monitoring error of 0.84 dB. Tolerance of the proposed technique on polarization-mode dispersion effects is also investigated.

KW - Artificial neural network (ANN)

KW - optical fiber communication

KW - optical performance monitoring (OPM)

KW - optical signal-to-noise ratio (OSNR)

UR - http://www.scopus.com/inward/record.url?scp=84865250426&partnerID=8YFLogxK

U2 - 10.1109/LPT.2012.2209413

DO - 10.1109/LPT.2012.2209413

M3 - Journal article

SN - 1041-1135

VL - 24

SP - 1564

EP - 1567

JO - IEEE Photonics Technology Letters

JF - IEEE Photonics Technology Letters

IS - 17

M1 - 6243173

ER -

OSNR monitoring for PM-QPSK systems with large inline chromatic dispersion using artificial neural network technique

Abstract

Keywords

ASJC Scopus subject areas

More information

Other files and links

Fingerprint

Cite this