Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Journal of Lightwave Technology
  • Vol. 35,
  • Issue 20,
  • pp. 4497-4506
  • (2017)

Joint OSNR and Interchannel Nonlinearity Estimation Method Based on Fractional Fourier Transform

Not Accessible

Your library or personal account may give you access

Abstract

We propose a novel joint optical signal noise ratio (OSNR) and interchannel nonlinearity (NL) estimation method by fractional Fourier transformation of linear-frequency modulation (LFM) signal. In our method, LFM signal acts as time domain pilot in front of the payload. Our method of OSNR estimation is insensitive to nonlinear noise of optical fiber. Lower OSNR estimation error is also achieved in comparison with differential pilot method. The interchannel NL measurement procedures are also simplified compared with previous work. We also provide a scientific way to calculate the reference interchannel NL. The interchannel NL estimation error of our method is lower than 1 dB for 9 channels transmission after 10 spans with launch power from 10 to 14 dBm.

PDF Article
More Like This
OSNR and nonlinear noise power estimation for optical fiber communication systems using LSTM based deep learning technique

Ziyi Wang, Aiying Yang, Peng Guo, and Pinjing He
Opt. Express 26(16) 21346-21357 (2018)

FrFT-based estimation of linear and nonlinear impairments using Vision Transformer

Ting Jiang, Zheng Gao, Yizhao Chen, Zihe Hu, and Ming Tang
J. Opt. Commun. Netw. 16(3) 419-431 (2024)

Nonlinear joint fractional transform correlator

Banghe Zhu, Shutian Liu, Li Han, and Xueru Zhang
Appl. Opt. 40(17) 2836-2843 (2001)

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.