Nonlinearity estimation method based on error vector correlation function in coherent optical fiber transmission systems

Tao Yang; Aiying Yang; Peng Guo; Yaojun Qiao

doi:10.1117/12.2543460

12 March 2020 Nonlinearity estimation method based on error vector correlation function in coherent optical fiber transmission systems

Tao Yang, Aiying Yang, Peng Guo, Yaojun Qiao

Author Affiliations +

Proceedings Volume 11435, 2019 International Conference on Optical Instruments and Technology: Optical Communication and Optical Signal Processing; 1143508 (2020) https://doi.org/10.1117/12.2543460
Event: 2019 International Conference on Optical Instruments and Technology, 2019, Beijing, China

Abstract

In this paper, we proposed a promising nonlinearity (NL) estimation technique based on error vector correlation (EVC) function, which is robust against ASE noise. The method is demonstrated to estimate NL power accurately in 112 Gb/s polarization-multiplexed quadrature phase-shift keying (PM-QPSK) simulation system, 224 Gb/s PM-16-quadrature amplitude modulation (PM-16-QAM) system and 672 Gb/s wavelength division multiplexed (WDM) PM-16-QAM system. For all of these three systems, the maximum estimation error of NL power is lower than 1 dB for 2400 km transmission link with launch power varying from 0 to 8 dBm per channel when the OSNR range used in simulation of QPSK and 16-QAM system are 12 ~ 30 dB and 18 ~ 36 dB respectively.

Citation Download Citation

Tao Yang, Aiying Yang, Peng Guo, and Yaojun Qiao "Nonlinearity estimation method based on error vector correlation function in coherent optical fiber transmission systems", Proc. SPIE 11435, 2019 International Conference on Optical Instruments and Technology: Optical Communication and Optical Signal Processing, 1143508 (12 March 2020); https://doi.org/10.1117/12.2543460

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available