基于QC-LDPC码的空间CCD图像NAND闪存存储纠错

发布时间：2018-03-13 08:26

本文选题：空间相机　切入点：NAND闪存　出处：《光电子.激光》2014年08期 　论文类型：期刊论文

【摘要】：为了提高空间CCD相机图像NAND闪存存储可靠性,提出一种基于QC-LDPC码的NAND闪存纠错算法。首先,分析了NAND闪存纠错信道模型;然后,根据闪存特点提出了一种基于QC-LPDC(1056,1024)码的NAND闪存纠错算法,为了加快编码效率提出了校验矩阵构造和高效编码方法,设计的校验阵均是0和1,只有移位和加法运算,非常适合硬件实现;最后,使用地面检测设备对闪存纠错算法进行了试验验证。结果表明,闪存纠错算法能快速稳定、可靠地工作,计算复杂度比较低,算法复杂度仅具为O(N);算法纠错能力高,误码比(BER)为10-6时,本文算法比RS码多0.47dB编码增益;使用65nm CMOS单元库,系统工作频率为250MHz时解码器数据吞吐率达到7.2Gbps;低误码平层,在误比特率为10-8时未出现误码平层。本文的NAND闪存纠错算法满足了空间相机图像存储系统的应用。
[Abstract]:In order to improve the reliability of NAND flash storage in spatial CCD camera image, an error-correcting algorithm for NAND flash memory based on QC-LDPC code is proposed. Firstly, the channel model of NAND flash memory correction is analyzed, and then, the error correction channel model of NAND flash memory is analyzed. According to the characteristics of flash memory, this paper presents an error correction algorithm for NAND flash memory based on QC-LPDC1056 / 1024) code. In order to speed up the coding efficiency, the construction of check matrix and the efficient coding method are proposed. The designed check matrices are all 0 and 1, and only shift and addition operations are used. It is very suitable for hardware implementation. Finally, the error correction algorithm of flash memory is tested with ground detection equipment. The results show that flash error correction algorithm can work quickly and reliably, and the computational complexity is relatively low. When the error correction ability of the algorithm is 10 ~ (-6), the algorithm has 0.47 dB more coding gain than the RS code, using 65nm CMOS cell library, the data throughput of the decoder reaches 7.2 Gbpss when the system frequency is 250MHz. There is no error level layer when the bit error rate is 10-8. The NAND flash error correction algorithm in this paper satisfies the application of space camera image storage system.
【作者单位】：清华大学精密仪器系;清华大学精密测试与仪器国家重点实验室;
【基金】：中国博士后科学基金(2014M550720) 国家“863”计划(2012AA121503,2012AA121603) 国家自然科学基金(61377012,60807004)资助项目
【分类号】：TP333

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