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A kind of passive optical network uplink transmission receiver demodulation method

A passive optical network, transmission and reception technology, applied in the field of optical communication, can solve problems such as difficulty in effectively compensating for channel damage, and achieve the effect of providing sensitivity, solving low speed and low spectral efficiency, and increasing flexibility

Active Publication Date: 2021-06-25
SOUTHWEST JIAOTONG UNIV
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Problems solved by technology

Channel impairment compensation based on LS, MMSE or its improved algorithm, but this traditional method is difficult to effectively compensate for channel impairment when the modulation order is high or the channel is complex

Method used

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  • A kind of passive optical network uplink transmission receiver demodulation method
  • A kind of passive optical network uplink transmission receiver demodulation method
  • A kind of passive optical network uplink transmission receiver demodulation method

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Embodiment Construction

[0026] A passive optical network uplink transmission receiving end demodulation method, comprising the following steps:

[0027] Step 1: Build a fully connected neural network;

[0028] In recent years, machine learning has been recognized as an effective method for solving complex problems, such as object detection recognition and speech recognition. In particular, deep learning has brought significant performance gains in various fields, including natural language processing, computer vision. The present invention uses deep learning for channel estimation and signal detection in PON. A typical deep learning model consists of several layers containing multiple neurons. The input to each layer is the output of a nonlinear function of the weighted sum of neurons in the previous layer. The weights between each layer are adjusted by backpropagation training. Deep learning can be roughly divided into supervised and unsupervised learning, and reinforcement learning.

[0029] T...

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Abstract

The invention discloses a passive optical network uplink transmission receiving end demodulation method, comprising the following steps: step 1: constructing a fully connected neural network; step 2: acquiring the signal sent by the data transmitting unit and the original sending data as a training data set, Train the model; step 3: input the received data into the model after the training in step 2 to obtain the original data signal; the present invention uses a deep learning neural network model to realize channel estimation and demodulation, which can effectively provide receiver sensitivity, Especially for high-order modulation and long-distance transmission; it can be demodulated according to the modulation format and distance adaptation, which increases the flexibility of the system and can effectively solve the problems of low speed and low spectral efficiency of traditional solutions.

Description

technical field [0001] The invention relates to the technical field of optical communication, in particular to a demodulation method for a passive optical network uplink transmission receiving end. Background technique [0002] Optical fiber communication technology has become one of the main pillars of modern communication and plays a pivotal role in modern telecommunication networks; its rapid development and wide range of applications in recent years are rare in the history of communication, and it is also an important symbol of the world's new technology revolution And the main transmission tool of various information in the future information society. Optical fiber is the abbreviation of optical fiber. Optical fiber communication is a communication method in which light waves are used as information carriers and optical fibers are used as transmission media. In recent years, due to the laying of a large number of optical fibers and the application of new technologies ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04L27/26H04B10/60G06N3/08G06N3/04
CPCH04L27/265H04L27/2697H04B10/60G06N3/084G06N3/045
Inventor 杨慧王睿张先卓
Owner SOUTHWEST JIAOTONG UNIV
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