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A ldpc hard-decision decoding method and decoder based on deep learning

A technology of deep learning and hard judgment, which is applied in the direction of error detection coding, coding, and code conversion of multiple parity bits, which can solve problems such as difficult implementation, low decoding efficiency, and large calculation and comparison values. , to achieve the effect of reducing the amount of calculation and complexity, and high decoding efficiency

Active Publication Date: 2019-12-10
SOUTH CHINA UNIV OF TECH
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AI Technical Summary

Problems solved by technology

When k is large, the value of calculation and comparison is too large, it is very difficult to realize, and the decoding efficiency is not high

Method used

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  • A ldpc hard-decision decoding method and decoder based on deep learning
  • A ldpc hard-decision decoding method and decoder based on deep learning

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Embodiment

[0029] The present invention takes a LDPC code with a code rate of 1 / 2 as an embodiment, and provides a detailed description of a deep learning-based LDPC hard-decision decoding method and a decoder provided by the present invention.

[0030] For a (16,32) LDPC code with a code rate of 1 / 2, Y represents the correct information sequence, a total of 2 16 Group, X represents the codeword sequence after Y has been encoded, a total of 2 16 Group.

[0031] like figure 1 As shown, a deep learning-based LDPC hard-decision decoding method includes the following steps:

[0032] (1) Establish a LDPC decoding sample set: take a group of (X, Y) as a labeled data, obtain a large number of labeled samples (X, Y), and form a decoding sample set, for a code rate of 1 / 2 The (16,32) LDPC code, Y represents the correct information sequence, there are a total of 2 16 Group, X represents the codeword sequence after Y has been encoded, a total of 2 16 Group;

[0033] (2) Establishment of deep ...

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Abstract

The invention discloses a LDPC hard decision decoding method based on depth learning; the method comprises the following steps: 1, using a group (X, Y) as a group of labeled data; 2, building a LDPC decoding sample set; 3, building a depth learning decoding model; 4, pre-training the depth learning decoding model; 5, allowing the depth learning decoding model to decode and output data. The invention also discloses a decoder using the LDPC hard decision decoding method based on depth learning; the decoder comprises an input unit, the depth learning decoding model, an output unit, and a controller. The invention imports the LDPC hard decision decoding method based on depth learning on the basis of a conventional maximum likelihood decoding algorithm, thus reducing decoding computational quantity and complexity, and improving decoding efficiency.

Description

technical field [0001] The present invention relates to the technical field of electronic communication, in particular to a deep learning-based LDPC hard-decision decoding method and a decoder. Background technique [0002] Low Density Parity Check Code (LDPC, Low Density Parity Check Code) is a linear block error correction code with low decoding complexity and good performance. Its bit error performance is close to the Shannon limit in information theory. Because of its superior performance and easy parallel implementation, it is widely used in various fields of modern communication, such as high-speed optical fiber communication, high-definition digital TV broadcasting, and is used by various modern communication standards. use. [0003] After Professor Hinton published the contrastive divergence algorithm in 2002, the development of deep learning has been greatly promoted, and the computational complexity of the deep learning network model has also been reduced; practic...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H03M13/11
CPCH03M13/1108
Inventor 姜小波李杰魏凯
Owner SOUTH CHINA UNIV OF TECH