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Probabilistic shaping coherent optical communication system nonlinear compensation method based on weighted density peak clustering algorithm

A technology of coherent optical communication and nonlinear compensation, which is applied in the transmission system, electromagnetic wave transmission system, calculation, etc., can solve the problem that the DPC algorithm cannot correctly find the density peak point, and achieve the effect of accurate clustering

Active Publication Date: 2022-05-17
SOUTHWEST JIAOTONG UNIV
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Problems solved by technology

When the amount of data of different categories differs too much, the DPC algorithm may not be able to correctly find the density peak point

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  • Probabilistic shaping coherent optical communication system nonlinear compensation method based on weighted density peak clustering algorithm
  • Probabilistic shaping coherent optical communication system nonlinear compensation method based on weighted density peak clustering algorithm
  • Probabilistic shaping coherent optical communication system nonlinear compensation method based on weighted density peak clustering algorithm

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Embodiment Construction

[0034] In order to describe the embodiment and the specific implementation and advantages of the present invention in more detail, the following will be further described in conjunction with the accompanying drawings:

[0035] A method for nonlinear compensation of probabilistically shaped coherent optical communication systems based on weighted density peak clustering. The device used is as attached figure 1 As shown, at the transmitter end, the bit stream is modulated by the Mach-Zehnder modulator and then enters the optical fiber. After long-distance transmission, it is received by the receiver. After multiplexing and carrier phase restoration, the present invention is used to compensate the non-linear impairment of the signal.

[0036] The traditional density peak clustering algorithm is an unsupervised algorithm, and the key to accurate clustering is to find the density peak point of each cluster. As the density peak point, it must first have a large density value ρ i ,...

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Abstract

The invention provides a nonlinear compensation method for a probabilistic shaping coherent optical communication system, which is used for processing a received probabilistic shaping signal by utilizing a weighted density peak clustering algorithm, and comprises the following steps of: calculating the density and the minimum relative distance of each object in received data; and assigning a weight to each object according to a probability shaping distribution factor, and selecting density peak points from parameters obtained by multiplying the three items in a descending order. And then labels are distributed to the remaining objects according to the density peak point. According to the method, uneven probabilistic shaping signals can be clustered, the performance of the system is effectively improved, and the bit error rate of the system is obviously improved.

Description

technical field [0001] The invention relates to the field of optical fiber communication, in particular to a method for nonlinear compensation of a probability shaping coherent optical communication system based on a weighted density peak clustering algorithm. Background technique [0002] In the optical communication system, the nonlinear effect has been the main limiting factor of the current communication system. There are digital backpropagation (DBP), optical phase conjugation and other methods to compensate the nonlinear damage, but these methods are either too complicated High, or need to install the conjugate device at the specified position in the link, which leads to high cost, or sacrifices the spectral efficiency. In recent years, machine learning algorithms have been applied to optical fiber communication systems, such as K-Nearest Neighbor, Support Vector Machine (SVM), Density-based Spatial Clustering Algorithm for Noise Applications (DBSCAN) and K-means Clust...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04B10/079H04B10/54H04B10/61G06K9/62
CPCH04B10/07953H04B10/54H04B10/616H04B10/6161H04B10/6165G06F18/23Y02D30/70
Inventor 易安林杨建波闫连山罗斌蒋林
Owner SOUTHWEST JIAOTONG UNIV
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