Flexible optical network time domain equalization method and system based on composite neural network

A neural network and time domain equalization technology, which is applied in neural learning methods, biological neural network models, selection devices for multiplexing systems, etc. The effect of channel equalization effect

Active Publication Date: 2020-05-01
HUAZHONG UNIV OF SCI & TECH
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  • Abstract
  • Description
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  • Application Information

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Problems solved by technology

[0005] Aiming at the defects of the prior art, the object of the present invention is to provide a flexible optical network time-domain equalization method and system based on a composite neural network. The existing equalization me

Method used

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  • Flexible optical network time domain equalization method and system based on composite neural network
  • Flexible optical network time domain equalization method and system based on composite neural network
  • Flexible optical network time domain equalization method and system based on composite neural network

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Embodiment

[0105] Such as Figure 4 As shown, the embodiment provides a schematic diagram of a typical transmission system, including three parts: a sending end, a transmission link, and a receiving end.

[0106] In the sending end, a tunable laser working in the C-band is used as the light source. After the signal to be sent is preprocessed by the digital signal processing module of the sending end, the digital-to-analog conversion is completed by the arbitrary waveform generator to obtain an analog signal, which is amplified by the electric amplifier. Finally, the Mach-Zehnder modulator is driven to generate the modulated optical signal, and the fiber input power is regulated by the erbium-doped fiber amplifier;

[0107] The transmission link is a standard single-mode fiber, and the adjustable optical attenuator can be used to adjust the received optical power and optical signal-to-noise ratio;

[0108] At the receiving end, the optical signal is received and converted into an electri...

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Abstract

The invention discloses a flexible optical network time domain equalization method and system based on a composite neural network, and belongs to the field of optical fiber communication systems, andthe method comprises the steps: (1) preprocessing a received signal transmitted by a flexible optical network; (2) calculating an amplitude distribution histogram of the preprocessed received signal;(3) inputting the amplitude distribution histogram into a first-stage multi-task neural network classifier, and outputting transmission parameters of the flexible optical network; (4) setting a weightand an offset parameter of a second-stage neural network regression device according to the transmission parameter of the flexible optical network; (5) carrying out time domain equalization on the preprocessed received signal by adopting a second-stage neural network regression device, wherein the number of input neurons of the first-stage multi-task neural network classifier is the same as the number of groups of amplitude histograms, and the number of output neurons of the first-stage multi-task neural network classifier is the same as transmission parameters of the flexible optical network. The time domain equalization method and system disclosed by the invention are wider in application range.

Description

technical field [0001] The invention belongs to the field of optical fiber communication systems, and more specifically relates to a flexible optical network time domain equalization method and system based on a compound neural network. Background technique [0002] In recent years, with the popularization of smart terminals and the development of new network services, network traffic has grown explosively, which has brought enormous pressure on the capacity of communication systems. In order to meet the demand for massive data transmission, on the one hand, it is also necessary to overcome various transmission impairments in the optical fiber communication system and improve the single-fiber transmission capacity; on the other hand, it is also necessary to dynamically allocate network resources according to actual needs, and the corresponding transmission impairment compensation method also needs Adjust accordingly. [0003] In order to improve transmission efficiency, fle...

Claims

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Application Information

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IPC IPC(8): H04Q11/00H04B10/60G06N3/04G06N3/08
CPCH04Q11/0062H04B10/60G06N3/08G06N3/045
Inventor 付松年杨正童天昊程逸骏唐明
Owner HUAZHONG UNIV OF SCI & TECH
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