Coherent light communication system optical signal-to-noise ratio monitoring method based on high-order statistical moment

A technology of coherent optical communication and optical signal-to-noise ratio, applied in transmission systems, electromagnetic wave transmission systems, electrical components, etc., can solve problems such as bottlenecks in communication rates

CN111541483AInactive Publication Date: 2020-08-14SUZHOU UNIV
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Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
Publication Date
2020-08-14
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention discloses a coherent light communication system optical signal-to-noise ratio monitoring method based on a high-order statistical moment. The method comprises the steps of converting anoptical signal of a receiving end in a coherent optical communication system into an electric signal through photoelectric conversion, converting the electric signal into a digital signal through analog-to-digital conversion, then performing dispersion compensation and clock phase recovery on the signal by using a digital signal processing algorithm, and finally compensating all linear transmission damages by using a CMA equalization algorithm. The method has the beneficial effects that according to the method, the characteristic value of the signal is extracted based on the high-order statistical moment method, the process of extracting the characteristic value is relatively simple, the extracted characteristic value is input into the artificial neural network to realize accurate monitoring of the optical signal-to-noise ratio, and the optical signal-to-noise ratio does not need to be calculated through a complex formula and does not need to be trained through a complex neural network.
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Description

technical field

[0001] The present invention relates to an optical signal-to-noise ratio monitoring method in a coherent optical communication system with different modulation formats, and more specifically relates to how to extract the characteristic value of a sampling signal based on a high-order moment method and input it to an artificial neural network, through continuous optimization of neural network training The model is used to improve the accuracy and stability of the output results, and realize the monitoring of the optical signal-to-noise ratio of the coherent optical communication system. Background technique

[0002] With the increase of traffic volume and complexity of communication, the demand for network bandwidth is getting higher and higher. In the intensity modulation direct detection system, only the signal amplitude can be used to modulate the information, and there is still a bottleneck in the improvement of the communication rate. In coherent optical...

Examples

Embodiment Construction

[0025] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments, so that those skilled in the art can better understand the present invention and implement it, but the examples given are not intended to limit the present invention.

[0026] The high-order statistical moment method calculates the second-order moment and fourth-order moment of the signal received by the coherent receiving system, and then calculates the signal power and noise power based on them. For example, in the PM-QPSK coherent receiving system, the signal to be tested is received coherently at the receiving end, and then after sampling, CD compensation and polarization demultiplexing, two polarization states of X and Y are obtained. After the CMA adaptive equalizer, the carrier frequency Before offset compensation and carrier phase recovery, the signal is imported into the optical signal-to-noise ratio monitoring module for processing.

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