Flash Error Correcting Storage System Using Two Dimensional Structure Hamming Code

YU Hui-long; ZHANG Jian; LI Qing; TAN Cui; ZHAO Jing; HUA Tao

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Flash Error Correcting Storage System Using Two Dimensional Structure Hamming Code

更新时间：2026-09-04

- Flash Error Correcting Storage System Using Two Dimensional Structure Hamming Code
- Vol. 35, Issue 3, Pages: 1-3(2018)
- 作者机构：
  
  1. 南京工程学院机构,江苏,南京,211167
  2. 中北大学机构,山西,太原,030051
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2018
- 稿件说明：
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余辉龙, 张健, 李清, 覃翠, 赵静, 花涛. 基于二维汉明码结构的闪存纠错存储系统[J]. 微电子学与计算机, 2018, 35(3): 1-3.

YU Hui-long, ZHANG Jian, LI Qing, et al. Flash Error Correcting Storage System Using Two Dimensional Structure Hamming Code[J]. 2018, 35(3): 1-3.
余辉龙, 张健, 李清, 覃翠, 赵静, 花涛. 基于二维汉明码结构的闪存纠错存储系统[J]. 微电子学与计算机, 2018, 35(3): 1-3. DOI：

YU Hui-long, ZHANG Jian, LI Qing, et al. Flash Error Correcting Storage System Using Two Dimensional Structure Hamming Code[J]. 2018, 35(3): 1-3. DOI：

摘要

针对闪存存储单元会出现多位错误

提出了NAND型闪存存储器的二维汉明码算法

从行和列二维结构上对任意2Jbit字长的存储数据

用统一的公式化算法进行汉明编码

通过计算纠错偶对能够纠错多位数据误码的情况

译码时先纠错

再校验

保证存储系统数据的完整性

解决了MLC结构闪存的纠错问题.在此基础上分析了不能纠错的图样模式.该算法核心结构上只有异或操作

易于实现

适用于NAND型闪存存储器.实验表明

闪存系统中有效数据二维结构为1 024×128时

采用二维汉明码结构

编码效率为11%

实际编码效率为12.6%.其编码速度和译码速度均达到了102Gbps

适用于高速存储系统.

Abstract

NAND flash unit causes multi-bit data error

the two-dimensional Hamming code algorithm for NAND flash memory is proposed.Any two-dimensional length of 2 J bit storage data From the row and column view

the uniform Hamming encoding algorithm formula is provided.by calculating error-correcting-pairs

multiple bit data error can be corrected.The error of the MLC structure and the integrity of data storage system is solved by first decoding

and then check decoding.On this basis

the error no-corrected pattern is analyzed.XOR operation which is the core structure of the algorithm is easy to implement and suitable for NAND flash memory.Experimental results show that the effective data in two-dimensional structure 1 024 * 128.Coding efficiency is 11%

actual12.6%.Its encoding speed and decoding speed are up to 102 Gbps

suitable for high-speed storage system.

关键词

Keywords

references

Ding C, Fan C, Zhou Z. The dimension and minimum distance of two classes of primitive BCH codes[J]. Finite Fields and Their Applications, 2017 (45): 237-263. DOI: 237

Peng X, Zhang W, Ji W, et al. Reduced-complexity multiplicity assignment algorithm and architecture for low-complexity chase decoder of reed-solomon codes[J]. IEEE Communications Letters, 2015, 19 (11): 1865-1868. DOI: 1865

余辉龙, 张健, 覃翠, 等. 一种指数字长的通用汉明码纠错算法[J]. 微电子学与计算机, 2015, 32 (7): 59-61. DOI: 59

李锴, 马航飞, 张美璟, 等. 基于闪存坏块表的大粒度文件隐藏[J]. 微电子学与计算机, 2015, 32 (5): 161-164. DOI: 161

孙健, 张辉, 王宇飞, 等. 一种基于RS (24, 20) 的编译码器设计[J]. 微电子学与计算机, 2016, 33 (12): 75-79. DOI: 75

余辉龙, 何昕, 魏仲慧, 等. NAND型闪存大容量图像存储器无效块管理[J]. 微电子学与计算机, 2010, 27 (2): 1-4. DOI: 1

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