Prony decomposition algorithm for processing polarization reflectometry data to determine the distributions of excess optical fiber length in a cable

Ivan N. Alekchin; Vladimir A. Burdin

doi:10.1117/12.2566368

22 May 2020 Prony decomposition algorithm for processing polarization reflectometry data to determine the distributions of excess optical fiber length in a cable

Ivan N. Alekchin, Vladimir A. Burdin

Author Affiliations +

Proceedings Volume 11516, Optical Technologies for Telecommunications 2019; 115161M (2020) https://doi.org/10.1117/12.2566368
Event: XVII International Scientific and Technical Conference "Optical Technologies for Telecommunications", 2019, Kazan, Russian Federation

Abstract

In this paper, we propose a Prony’s decomposition-based data processing algorithm for measuring the distribution of excess fiber length in an optical cable by a known method, which based on measurements of the polarizing backscattering characteristics of an optical fiber at a positive and low temperature below zero. The results of processing experimental data are presented and error estimates are given.

Citation Download Citation

Ivan N. Alekchin and Vladimir A. Burdin "Prony decomposition algorithm for processing polarization reflectometry data to determine the distributions of excess optical fiber length in a cable", Proc. SPIE 11516, Optical Technologies for Telecommunications 2019, 115161M (22 May 2020); https://doi.org/10.1117/12.2566368

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