Fiber channel model simulation method, device, electronic equipment and storage medium

Abstract

An embodiment of the present invention provides a fiber channel model simulation method, device, electronic equipment, and storage medium, the method comprising: acquiring signal data for simulated transmission of optical fiber; inputting the signal data and fiber length parameters into a preset The deep neural network model, according to the output result of the deep neural network model, determines the signal data output by the optical fiber channel of the optical fiber length; wherein, the deep neural network model, according to the determined optical fiber length and the sample signal of the channel output result data, obtained after training. A trained deep neural network network enables high-speed and robust fiber channel emulation of signal data. Compared with the current method, it has lower complexity, which greatly reduces the expertise and complexity required for modeling fiber channels. As long as sufficient input and output data and distance parameters are obtained, any fiber channel can be modeled , and the time required for modeling and model running is relatively short.

Description

Technical field [0001] The present invention relates to the field of optical communication technology, in particular to a fiber channel model simulation method, device, electronic equipment and storage medium. Background technique [0002] In communication, channels are often divided into microwave channels, optical fiber channels, cable channels, etc. according to their physical composition. Assuming that the transmission characteristics of the channel are known, the channel can be described abstractly by a model, and according to the mathematical characteristics of its input / output signals And the mathematical characteristics of the relationship between input / output signals are classified. [0003] In the field of optical communication, the traditional calculation method for analog signal transmission through optical fiber is to solve the nonlinear Schrödinger equation by using the split-step Fourier method, while considering stimulated Raman scattering, four-wave mixing, self-ph...

AI Technical Summary

Problems solved by technology

The time complexity of the algorithm is high, and the required time increases significantly with the increase of the transmission distance. According to the situation of different fiber channels, such calculation is more complicated and not accurate enough.

The current optical fiber modeling method is complex, and there are still disadvantages that it is difficult to accurately model in some cases

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