一种结合信道信息的NB-LDPC解码器存储算法

J. Ren, Xu Ding, Xiao-ning Xin, Hua-Han Chen
{"title":"一种结合信道信息的NB-LDPC解码器存储算法","authors":"J. Ren, Xu Ding, Xiao-ning Xin, Hua-Han Chen","doi":"10.1109/ICICM50929.2020.9292206","DOIUrl":null,"url":null,"abstract":"To solve the problems of NAND Flash with the reduction of size and the increase of information stored in the storage unit, the erase life and reliability of Flash are reduced, this paper uses Non-binary Low-density Parity-check (NB-LDPC) hard decision technology solves these problems. By using methods such as excluding self-input messages and using initial channel messages in calculation, Compared with the traditional binary LDPC decoding algorithm, this algorithm can successfully perform fast decoding. When the bit error rate is less than 10−4, the coding gain was increased by at least 0.5 dB. Simulation results show that the algorithm can avoid low error leveling and significantly reduce the bit error rate in storage applications with high code length and high transmission rate, and improve the decoding success rate. It is conducive to the fast decoding of the memory. The research results can provide the necessary conditions for the accurate decoding and automated operation of the NAND Flash later.","PeriodicalId":364285,"journal":{"name":"2020 IEEE 5th International Conference on Integrated Circuits and Microsystems (ICICM)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"An NB-LDPC decoder Algorithm combined using channel information for Storage Application\",\"authors\":\"J. Ren, Xu Ding, Xiao-ning Xin, Hua-Han Chen\",\"doi\":\"10.1109/ICICM50929.2020.9292206\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"To solve the problems of NAND Flash with the reduction of size and the increase of information stored in the storage unit, the erase life and reliability of Flash are reduced, this paper uses Non-binary Low-density Parity-check (NB-LDPC) hard decision technology solves these problems. By using methods such as excluding self-input messages and using initial channel messages in calculation, Compared with the traditional binary LDPC decoding algorithm, this algorithm can successfully perform fast decoding. When the bit error rate is less than 10−4, the coding gain was increased by at least 0.5 dB. Simulation results show that the algorithm can avoid low error leveling and significantly reduce the bit error rate in storage applications with high code length and high transmission rate, and improve the decoding success rate. It is conducive to the fast decoding of the memory. The research results can provide the necessary conditions for the accurate decoding and automated operation of the NAND Flash later.\",\"PeriodicalId\":364285,\"journal\":{\"name\":\"2020 IEEE 5th International Conference on Integrated Circuits and Microsystems (ICICM)\",\"volume\":\"34 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-10-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE 5th International Conference on Integrated Circuits and Microsystems (ICICM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICICM50929.2020.9292206\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 5th International Conference on Integrated Circuits and Microsystems (ICICM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICM50929.2020.9292206","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

针对NAND闪存体积减小和存储单元信息量增加导致闪存擦除寿命和可靠性降低的问题,本文采用非二进制低密度奇偶校验(NB-LDPC)硬决策技术解决了这些问题。通过在计算中采用排除自输入消息和使用初始信道消息等方法,与传统的二进制LDPC译码算法相比,该算法能够成功地实现快速译码。当误码率小于10−4时,编码增益至少增加0.5 dB。仿真结果表明,在高码长、高传输速率的存储应用中,该算法可以避免低误码率,显著降低误码率,提高译码成功率。它有利于存储器的快速解码。研究结果可为以后NAND闪存的准确解码和自动化操作提供必要的条件。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An NB-LDPC decoder Algorithm combined using channel information for Storage Application
To solve the problems of NAND Flash with the reduction of size and the increase of information stored in the storage unit, the erase life and reliability of Flash are reduced, this paper uses Non-binary Low-density Parity-check (NB-LDPC) hard decision technology solves these problems. By using methods such as excluding self-input messages and using initial channel messages in calculation, Compared with the traditional binary LDPC decoding algorithm, this algorithm can successfully perform fast decoding. When the bit error rate is less than 10−4, the coding gain was increased by at least 0.5 dB. Simulation results show that the algorithm can avoid low error leveling and significantly reduce the bit error rate in storage applications with high code length and high transmission rate, and improve the decoding success rate. It is conducive to the fast decoding of the memory. The research results can provide the necessary conditions for the accurate decoding and automated operation of the NAND Flash later.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信