LDPC码的分层自适应最小和译码算法

TN911.22; 针对归一化最小和译码算法较置信传播译码算法误差较大的问题,提出 自适应最小和译码算法.通过对当前迭代后验概率的硬判决值与前一次迭代后验概率的硬判决值进行计算,动态调整归一化因子与偏移因子,使得到的改进算法更接近于置信传播译码算法.在此基础上,应用分层式调度策略,提出分层自适应最小和译码算法,提升译码算法收敛速度.仿真实验结果表明,在误码率为10-6时,所提译码算法的误码性能与分层归一化最小和译码算法相比有0.25 dB的增益,与分层置信传播译码算法的译码性能十分接近,迭代次数仅有1次的增加,具有更好的收敛性能....

Full description

Saved in:
Bibliographic Details
Published in系统工程与电子技术 Vol. 46; no. 12; pp. 4231 - 4237
Main Authors 郑仁乐, 李东阳, 刘文学, 万金涛, 刘学勇, 李金海
Format Journal Article
LanguageChinese
Published 中国科学院大学集成电路学院,北京 100049 01.12.2024
中国科学院微电子研究所通信与信息工程研发中心,北京 100029
Subjects
hierarchical adaptive minimum sum decoding algorithm
offset factor
分层自适应最小和译码算法
low-density parity check(LDPC)code
偏移因子
归一化因子
低密度奇偶校验码
normalization factor
Online AccessGet full text
ISSN1001-506X
DOI10.12305/j.issn.1001-506X.2024.12.32

Cover

Abstract TN911.22; 针对归一化最小和译码算法较置信传播译码算法误差较大的问题,提出 自适应最小和译码算法.通过对当前迭代后验概率的硬判决值与前一次迭代后验概率的硬判决值进行计算,动态调整归一化因子与偏移因子,使得到的改进算法更接近于置信传播译码算法.在此基础上,应用分层式调度策略,提出分层自适应最小和译码算法,提升译码算法收敛速度.仿真实验结果表明,在误码率为10-6时,所提译码算法的误码性能与分层归一化最小和译码算法相比有0.25 dB的增益,与分层置信传播译码算法的译码性能十分接近,迭代次数仅有1次的增加,具有更好的收敛性能.
AbstractList TN911.22; 针对归一化最小和译码算法较置信传播译码算法误差较大的问题,提出 自适应最小和译码算法.通过对当前迭代后验概率的硬判决值与前一次迭代后验概率的硬判决值进行计算,动态调整归一化因子与偏移因子,使得到的改进算法更接近于置信传播译码算法.在此基础上,应用分层式调度策略,提出分层自适应最小和译码算法,提升译码算法收敛速度.仿真实验结果表明,在误码率为10-6时,所提译码算法的误码性能与分层归一化最小和译码算法相比有0.25 dB的增益,与分层置信传播译码算法的译码性能十分接近,迭代次数仅有1次的增加,具有更好的收敛性能.
Abstract_FL To address the issue of larger errors in the normalized minimum sum decoding algorithm compared to the belief propagation decoding algorithm,an adaptive minimum sum decoding algorithm is proposed.By calculating the hard decision values of the current iteration posterior probability and the previous iteration posterior probability,the normalization factor and offset factor are dynamically adjusted to make the improved algorithm closer to the belief propagation decoding algorithm.Based on this,a hierarchical scheduling strategy is applied to propose a hierarchical adaptive minimum sum decoding algorithm,which improves the convergence speed of the decoding algorithm.Simulation results show that when the bit error rate is 10-6,the proposed decoding algorithm has a gain of 0.25 dB of bit error performance compared to the hierarchical normalized minimum sum decoding algorithm.Compared with the hierarchical belief propagation decoding algorithm,the proposed decoding performance has a similar performance,with only one increase in iteration times sum better convergence performance.
Author 李东阳
李金海
郑仁乐
刘学勇
刘文学
万金涛
AuthorAffiliation 中国科学院微电子研究所通信与信息工程研发中心,北京 100029;中国科学院大学集成电路学院,北京 100049
AuthorAffiliation_xml – name: 中国科学院微电子研究所通信与信息工程研发中心,北京 100029;中国科学院大学集成电路学院,北京 100049
Author_FL ZHENG Renle
LI Dongyang
LI Jinhai
LIU Wenxue
WAN Jintao
LIU Xueyong
Author_FL_xml – sequence: 1
  fullname: ZHENG Renle
– sequence: 2
  fullname: LI Dongyang
– sequence: 3
  fullname: LIU Wenxue
– sequence: 4
  fullname: WAN Jintao
– sequence: 5
  fullname: LIU Xueyong
– sequence: 6
  fullname: LI Jinhai
Author_xml – sequence: 1
  fullname: 郑仁乐
– sequence: 2
  fullname: 李东阳
– sequence: 3
  fullname: 刘文学
– sequence: 4
  fullname: 万金涛
– sequence: 5
  fullname: 刘学勇
– sequence: 6
  fullname: 李金海
BookMark eNrjYmDJy89LZWBQMTTQMzQyNjDVz9LLLC7O0zM0MDDUNTUwi9AzMjAyAcrpGRuxMHDChTkYeIuLM5MMTA2NzU0NzE04GfR8XAKcny9ofD6r5WlH29ONTS_aV71saHq6a8qzOQ1PN_Q_ndTzYv1EkIJ1059tnsrDwJqWmFOcyguluRlC3VxDnD10ffzdPZ0dfXSLDQ1MjXRTktOSDM1NTY2MLM1S0lKNE1OSzS0tzE1SLA2M08zNk5OALMO0ZAuTtCRzC1OTxGSTpNQ0iyRTI0NTA0MDy1RjbgYtiLnliXlpiXnp8Vn5pUV5QBvjK0rSkytTqrKKQT40NDIwNjIGAJWnWKI
ClassificationCodes TN911.22
ContentType Journal Article
Copyright Copyright © Wanfang Data Co. Ltd. All Rights Reserved.
Copyright_xml – notice: Copyright © Wanfang Data Co. Ltd. All Rights Reserved.
DBID 2B.
4A8
92I
93N
PSX
TCJ
DOI 10.12305/j.issn.1001-506X.2024.12.32
DatabaseName Wanfang Data Journals - Hong Kong
WANFANG Data Centre
Wanfang Data Journals
万方数据期刊 - 香港版
China Online Journals (COJ)
China Online Journals (COJ)
DatabaseTitleList
DeliveryMethod fulltext_linktorsrc
Discipline Engineering
DocumentTitle_FL Hierarchical adaptive minimum sum decoding algorithm for LDPC code
EndPage 4237
ExternalDocumentID xtgcydzjs202412032
GroupedDBID -0Y
2B.
4A8
5XA
5XJ
92E
92I
93N
ABJNI
ACGFS
ALMA_UNASSIGNED_HOLDINGS
CCEZO
CUBFJ
CW9
PSX
TCJ
TGP
U1G
U5S
ID FETCH-LOGICAL-s1052-dcfb17552296dfe3adc79874d903f77cb4d91fc84fb7854ac4bef8b52150109e3
ISSN 1001-506X
IngestDate Thu May 29 04:00:31 EDT 2025
IsPeerReviewed false
IsScholarly true
Issue 12
Keywords hierarchical adaptive minimum sum decoding algorithm
offset factor
分层自适应最小和译码算法
low-density parity check(LDPC)code
偏移因子
归一化因子
低密度奇偶校验码
normalization factor
Language Chinese
LinkModel OpenURL
MergedId FETCHMERGED-LOGICAL-s1052-dcfb17552296dfe3adc79874d903f77cb4d91fc84fb7854ac4bef8b52150109e3
PageCount 7
ParticipantIDs wanfang_journals_xtgcydzjs202412032
PublicationCentury 2000
PublicationDate 2024-12-01
PublicationDateYYYYMMDD 2024-12-01
PublicationDate_xml – month: 12
  year: 2024
  text: 2024-12-01
  day: 01
PublicationDecade 2020
PublicationTitle 系统工程与电子技术
PublicationTitle_FL Systems Engineering and Electronics
PublicationYear 2024
Publisher 中国科学院大学集成电路学院,北京 100049
中国科学院微电子研究所通信与信息工程研发中心,北京 100029
Publisher_xml – name: 中国科学院大学集成电路学院,北京 100049
– name: 中国科学院微电子研究所通信与信息工程研发中心,北京 100029
SSID ssib051375074
ssib002263377
ssib001102898
ssib057620160
ssib023168126
ssib023646287
ssj0042237
Score 2.4566383
Snippet TN911.22; 针对归一化最小和译码算法较置信传播译码算法误差较大的问题,提出 自适应最小和译码算法.通过对当前迭代后验概率的硬判决值与前一次迭代后验概率的硬判决值进行...
SourceID wanfang
SourceType Aggregation Database
StartPage 4231
Title LDPC码的分层自适应最小和译码算法
URI https://d.wanfangdata.com.cn/periodical/xtgcydzjs202412032
Volume 46
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
journalDatabaseRights – providerCode: PRVEBS
  databaseName: Inspec with Full Text
  issn: 1001-506X
  databaseCode: ADMLS
  dateStart: 20180801
  customDbUrl:
  isFulltext: true
  dateEnd: 99991231
  titleUrlDefault: https://www.ebsco.com/products/research-databases/inspec-full-text
  omitProxy: false
  ssIdentifier: ssib057620160
  providerName: EBSCOhost
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV3NaxQxFA91C6IH8RO_KdicZNf5yEySY2Z2liKtCLbQW9nM7LR4WMFuQXuqRdSD4AeKIB48e_ADb_4_29b_wvfezO7M6iLVy_A2eV_JI5PfyyYTxuZDq20qZNZ0_Fw2gUibNssgVdGBzWUYQkqGB5yXboULK-LmarA6c-RlbdfS1sC20u2p50r-J6pQBnHFU7L_ENmxUigAGuILT4gwPA8V48X27ZgnkhsHACES2nAleBJwpbgKkYhcrjyewE9gMzzRuLUBS6DKcA3MIdcxFmIJVHWQ0B5XMUqZDtfuhAmTcC1RKvJ5cXHlCNtiLRRGERER16QqApGABMEHqBI8AiIhb4EOkMe0uXZQpzLkCblkxnuOyWufHBGoWBWE5tqpWECmTXrJAMiDkFbgUMVC3QJlyBtihxSmTVixFN5JsijJIjQU2KP66ognfttpUsqBLuy7iEdtanChoLRB_mhuqOuNwNqJqogCFpKLTq13FPVgZ4oeL6YmxRQPgeE08XWXsrHaVIOb2QKH7nEcz0Xlcmw55rzazAKw162hFNzNNHUGhJQyoCkQjbTGRlrYObjwXa4mT35j_MFgPX2Ybd_dRC7Xc3wANbMezJNOg82a9tLinQpiIyKtpegA332_Osvs4UVobgXp8X6C0KtSgMD1AaNWKUeARlxM0Qv0JACu0oVII8ePsvlRs278pVF05q6fd_vrNXi4fJKdKPO6OVMM0lNsZnvjNDte-9rnGdbC4br_8dH--8fDZ0-G33YPnn76ubM7_PFm78PO8OuL4evnB19eIcPnd3vf355lK51kOV5olteVNDchSfGaWZpbAOOQ0Ogwy3t-N0ulVlJkGt-DMrVAuXmqRG6lCkQ3FbaXKwv4OcD_p3v-Odbo3-v3zrM5yLLyrGf9MPe18DNtdYb7sRF-B2lXygvsWtnatfJ1tLn2ZwwvHorrEjtWDZzLrDG4v9W7AkB7YK-Wsf8FZoeVrA
linkProvider EBSCOhost
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=LDPC%E7%A0%81%E7%9A%84%E5%88%86%E5%B1%82%E8%87%AA%E9%80%82%E5%BA%94%E6%9C%80%E5%B0%8F%E5%92%8C%E8%AF%91%E7%A0%81%E7%AE%97%E6%B3%95&rft.jtitle=%E7%B3%BB%E7%BB%9F%E5%B7%A5%E7%A8%8B%E4%B8%8E%E7%94%B5%E5%AD%90%E6%8A%80%E6%9C%AF&rft.au=%E9%83%91%E4%BB%81%E4%B9%90&rft.au=%E6%9D%8E%E4%B8%9C%E9%98%B3&rft.au=%E5%88%98%E6%96%87%E5%AD%A6&rft.au=%E4%B8%87%E9%87%91%E6%B6%9B&rft.date=2024-12-01&rft.pub=%E4%B8%AD%E5%9B%BD%E7%A7%91%E5%AD%A6%E9%99%A2%E5%A4%A7%E5%AD%A6%E9%9B%86%E6%88%90%E7%94%B5%E8%B7%AF%E5%AD%A6%E9%99%A2%2C%E5%8C%97%E4%BA%AC+100049&rft.issn=1001-506X&rft.volume=46&rft.issue=12&rft.spage=4231&rft.epage=4237&rft_id=info:doi/10.12305%2Fj.issn.1001-506X.2024.12.32&rft.externalDocID=xtgcydzjs202412032
thumbnail_s http://utb.summon.serialssolutions.com/2.0.0/image/custom?url=http%3A%2F%2Fwww.wanfangdata.com.cn%2Fimages%2FPeriodicalImages%2Fxtgcydzjs%2Fxtgcydzjs.jpg