Research of neural network-assisted polarization code decoding method for free space optical communication

Hao Liu; Junhong Yang; Jinfu Hu

doi:10.1117/12.2687171

6 August 2023 Research of neural network-assisted polarization code decoding method for free space optical communication

Hao Liu, Junhong Yang, Jinfu Hu

Author Affiliations +

Proceedings Volume 12781, International Conference on Optoelectronic Information and Functional Materials (OIFM 2023); 1278124 (2023) https://doi.org/10.1117/12.2687171
Event: 2023 International Conference on Optoelectronic Information and Functional Materials (OIFM 2023), 2023, Guangzhou, JS, China

Abstract

Optical fiber communication technology, as a wired optical communication technology, has become a key technology to support modern network communication and carry the development of the Internet. Optical signals are affected by atmospheric attenuation and atmospheric turbulence in transmission, which can lead to light intensity flicker, beam drift and beam expansion, resulting in reduced reliability and stability of communication systems. Polarization code, as a new channel coding technology, has a clear and explicit coding structure, low decoding complexity and robust error correction performance; It can effectively suppress the influence of atmospheric turbulence without changing the transmitter and receiver structures, and effectively improve the performance of free-space optical communication systems. In this paper, we analyze the statistical characteristics of atmospheric turbulence effect in free-space optical communication, and study the polarization principle, coding construction and common decoding algorithms of polarization codes. On this basis, two common decoding algorithms of polarization codes with high BER and low delay as advantages are improved and optimized and applied to the study of free-space optical communication to improve the BER performance of free-space optical communication.

Citation Download Citation

Hao Liu, Junhong Yang, and Jinfu Hu "Research of neural network-assisted polarization code decoding method for free space optical communication", Proc. SPIE 12781, International Conference on Optoelectronic Information and Functional Materials (OIFM 2023), 1278124 (6 August 2023); https://doi.org/10.1117/12.2687171

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

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
6 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Polarization

Free space optical communications

Neural networks

Error control coding

Turbulence

Atmospheric turbulence

Education and training

Show All Keywords

Keywords/Phrases

Search In:

Publication Years