Optical fiber nonlinear equalization method based on IPCA-DNN algorithm

Abstract

The invention discloses an optical fiber nonlinear equalization method based on an IPCA-DNN algorithm, and the method comprises the steps: firstly compensating linear damage of a transmission link through a dispersion compensation module, and then calculating a triple of cross phase modulation in a channel and four-wave mixing in the channel; carrying out the data preprocessing of the triple through the combination of an improved PCA algorithm and clustering analysis; then training the preprocessed triple through a neural network, generating a black box model of the transmission link, and obtaining a nonlinear damage value of the model in an execution stage; and finally, calculating the performance of the nonlinear compensation scheme by using the predicted value of the nonlinear damage value and the label value of the neural network. According to the method, the nonlinear damage of the optical fiber is balanced through the neural network, any nonlinear function can be approached, a better black box model can be established, and the nonlinear damage of the optical fiber can be accurately predicted; in addition, a transmission model is simulated only depending on the received data, so that the method can work under the condition that link parameters are unknown in advance and has universality.

Description

technical field [0001] The invention relates to the technical field of optical fiber communication, in particular to an optical fiber nonlinear equalization method based on IPCA-DNN algorithm. Background technique [0002] With the continuous development of the information society, the optical network carries a large amount of data traffic, and its capacity has increased tenfold in the past five years. Applications such as big data, cloud services, VR / AR, and high-definition panoramic live broadcasting are still driving the development of optical networks to higher spectral efficiency and larger channel capacity. But the two kinds of factors of optical fiber linear damage and nonlinear damage limit the further development of optical communication technology. With the rapid development of digital signal processing technology, optical fiber linear damage has been well compensated, so fiber nonlinear damage is currently the main obstacle in long-distance high-speed optical fib...

AI Technical Summary

Problems solved by technology

Among them, the compensation scheme based on the classification algorithm (such as: k-NearestNeighbors, KNN) determines the category of the test data by generating a nonlinear decision boundary. Due to the global ergodicity of KNN, it leads to a relatively large computational complexity; The NLC (Nonlinear Impairment Compensation) scheme of the algorithm (such as: k-Mean), due to the random selection of the initial centroid, it is difficult to obtain the global optimal solution, resulting in high computational complexity

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