Method capable of simultaneously realizing damage compensation and abnormal loss monitoring of optical fiber link

Abstract

The invention provides a method capable of simultaneously realizing damage compensation and abnormal loss monitoring of an optical fiber link, and belongs to the field of optical fiber communication. The method comprises the following steps: receiving signals are divided into two paths after frequency offset estimation, a first path is reloaded into dispersion and then input into a neural network for training, and a second path is subjected to carrier phase recovery; phase rotation is conducted on a training sequence according to the phase rotation amount estimated in the carrier phase recovery process and the phase rotation amount generated through the neural network to obtain a reference signal without dispersion and non-linear damage; and error back propagation is conducted on an output signal of the neural network by referring to a reference signal to obtain optimal dispersion [beta]* and nonlinear [gamma]* parameters capable of measuring dispersion and nonlinear damage in the system, [beta]* and [gamma]* are substituted into a DBP algorithm to complete dispersion and nonlinear compensation, and whether abnormal loss exists in the optical fiber link is identified through a [gamma]* parameter value . According to the invention, the realization complexity of the optical network system can be greatly reduced.

Description

technical field [0001] The invention relates to the field of optical fiber communication, in particular to a method capable of simultaneously realizing optical fiber link damage compensation and abnormal loss monitoring. Background technique [0002] Because optical fiber has many characteristics such as high bandwidth, low loss, and strong anti-interference ability, a large amount of data is carried by optical fiber. High-speed optical fiber communication will help "new infrastructure" and provide users in various scenarios with high-speed and stable Internet experience. ; However, as the network becomes large and complex, once the link is abnormal, the communication quality will be reduced or even interrupted. The demand for future communication technology will be to monitor the transmission through simple link analysis when high-quality communication is completed. Therefore, experts proposed the concept of autonomous optical network, the idea behind it is to monitor and a...

AI Technical Summary

Problems solved by technology

[0005](1) Implementation based on digital back-propagation (DBP): its essence is to know the fiber dispersion coefficient β, loss coefficient α, fiber The nonlinear coefficient γ and the basic parameter information of the optical fiber link such as the transmission distance and span, and then reversely deduce the original optical signal of the transmitter. In each compensation step, FFT (FastFourier Transform: Fast Fourier Transform) is required. ) and IFFT (Inverse Fast Fourier Transform: Inverse Fast Fourier Transform) iterative operation, the compensation accuracy is high, but it is necessary to accurately obtain various parameters in the optical fiber link;

[0006](2) Transmitter front-end compensation technology based on perturbation theory is also a commonly used nonlinear compensation method, however, this method needs to be equipped with a Digital signal processing chips increase the complexity and implementation cost of the system;

[0007](3) Non-linear compensation technology based on Volterra theory. Practice has proved that the implementation of this method is extremely complicated and requires a lot of digital signal processing resources in the actual application process , which greatly increases the operating cost of the system

[0009] To sum up, the above system only implements fiber nonlinear compensation and abnormal loss monitoring technology alone, and uses additional measuring equipment to realize abnormal loss monitoring, which increases the system structure Complexity, high implementation cost, unable to complete intelligent monitoring of the network

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