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Title:
DEEP LEARNING CHANNEL DECODING METHOD BASED ON ALTERNATING DIRECTION METHOD OF MULTIPLIERS
Document Type and Number:
WIPO Patent Application WO/2021/093866
Kind Code:
A1
Abstract:
The present application provides a deep learning channel decoding method based on an alternating direction method of multipliers, mainly targeted at a binary linear code. The method comprises the following steps: 1) constructing a maximum likelihood optimization problem on the basis of channel decoding; 2) converting, by converting a constraint condition and introducing a penalty term, the maximum likelihood optimization problem based on channel decoding into a decoding optimization problem having a penalty term; 3) introducing an alternating direction method of multipliers to solve the decoding optimization problem having a penalty term to obtain a channel decoder based on the alternating direction method of multipliers; 4) constructing a deep learning network LADN according to the iteration form of the alternating direction method of multipliers, and converting a coefficient to be preset into a learning parameter; 5) obtaining a learning parameter by means of training; and 6) restoring the deep learning network to an iterative channel decoder based on the alternating direction method of multipliers, loading the learning parameter, and performing decoding. The present application further improves the decoding performance by learning an optimal parameter in a channel decoder based on an alternating direction method of multipliers by means of the power of deep learning.

Inventors:
WEI YI (CN)
ZHAO MINGMIN (CN)
ZHAO MINJIAN (CN)
LEI MING (CN)
Application Number:
PCT/CN2020/128787
Publication Date:
May 20, 2021
Filing Date:
November 13, 2020
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Assignee:
UNIV ZHEJIANG (CN)
International Classes:
H03M13/11; H03M13/00
Domestic Patent References:
WO2015022910A12015-02-19
Foreign References:
CN110932734A2020-03-27
CN108964669A2018-12-07
CN105959015A2016-09-21
Attorney, Agent or Firm:
TSINGYIHUA INTELLECTUAL PROPERTY LLC (CN)
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