Development of IP core automatic evaluation platform based on VIP model

LIU Meng; LI Jia-qiang; LI Jie; CHI Cheng; XIAO Li-yi

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Development of IP core automatic evaluation platform based on VIP model

更新时间：2026-09-04

- Development of IP core automatic evaluation platform based on VIP model
- Vol. 36, Issue 3, Pages: 71-76(2019)
- 作者机构：
  
  哈尔滨工业大学微电子中心,黑龙江,哈尔滨,150001
- 作者简介：
- 基金信息：
- DOI：
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- Published：2019
- 稿件说明：
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刘盟, 李家强, 李杰, 赤诚, 肖立伊. 基于DVB-S2协议的LDPC码译码算法研究[J]. 微电子学与计算机, 2019, 36(3): 71-76.

LIU Meng, LI Jia-qiang, LI Jie, et al. Development of IP core automatic evaluation platform based on VIP model[J]. 2019, 36(3): 71-76.
刘盟, 李家强, 李杰, 赤诚, 肖立伊. 基于DVB-S2协议的LDPC码译码算法研究[J]. 微电子学与计算机, 2019, 36(3): 71-76. DOI：

LIU Meng, LI Jia-qiang, LI Jie, et al. Development of IP core automatic evaluation platform based on VIP model[J]. 2019, 36(3): 71-76. DOI：

摘要

在通信过程中

由于信道的干扰

会使信息出错

通常会使用纠错码来提高传输数据的正确率.在纠错码中级联码以优秀的性能被广泛应用.而LDPC码作为接近香农限的特别好码受到越来越多的应用

所以对LDPC码编解码算法的研究成为了热点.本文以DVB-S2协议的前向纠错系统中LDPC码为研究背景

对LDPC码译码算法最小和算法(Minimum Sum Algorithm

MSA)、偏移最小和算法(Offset Minimum Sum Algorithm

OMSA)及归一化最小和算法(Normalized Minimum Sum Slgorithm

NMSA)进行了介绍.本文提出了一种最小和算法的实现方法

并且用于归一化最小和算法和偏移最小和算法的实现

之后通过对迭代次数和误码率的对比

选择出偏移量为0.1

迭代次数为20次的的偏移最小和算法作为最优算法来实现LDPC码译码器设计.

Abstract

In the communication process

due to the interference of the channel

the information be erroneous.Error correction code is usually used to improve the accuracy of the transmitted data. Concatenated codes as a kind of error correction codes are widely used due to their excellent performance

and LDPC codes are increasingly used as a good code that is close to the Shannon limit. Therefore

the research on LDPC codec algorithms has become a hot topic This dissertation takes the LDPC code in forward error correction system of DVB-S2 protocol as the research background

and introduces the minimum sum algorithm

offset minimum sum algorithm and normalized minimum sum algorithm of LDPC code decoding. In this paper

a minimum sum algorithm implementation method is proposed

and it is used to the implementation of normalized minimum sum algorithm and the offset minimum sum algorithm. After comparing the number of iterations and the error rate

the offset parameter is set to 0.1 and the number of iterations is set to 20

and the algorithm is used as the optimal algorithm to implement the LDPC decoder design.

关键词

Keywords

references

HOCEVAR D E. A reduced complexity decoder architecture via layered decoding of LDPC[C]// IEEE Workshop on SIPS 2004.[S.I.]: IEEE Press, 2004: 107-112.

ZHANG B T, LIU H Z, CHEN X C, et al. Low complexity DVB-S2 LDPC decoder[C]// Vehicular Technology Conference, 2009. Vtc Spring 2009. Barcelona, Spain.IEEE, 2009: 1-5.

LI H. A low-complexity min-sum decoding algorithm for LDPC codes[C]//Proceedings of 2017 17th IEEE International Conference on Communication Technology (ICCT 2017). Sichuan, IEEE Beijing Section, Sichuan Institute of Electronics, 2017.

SONG J J. Non-Binary LDPC APP-based decoding for BDS navigation data[C]//第九届中国卫星导航学术年会论文集-S09用户终端技术.北京, 中国卫星导航系统管理办公室学术交流中心, 2018.

靳文鹤.基于卷积LDPC码的编码协作研究[D].哈尔滨: 哈尔滨工业大学, 2016.

鲍丹.数字通信系统中高性能前向纠错码(FEC)译码算法及其VLSI实现研究[D].上海: 复旦大学, 2011.

童胜, 王鹏, 王单, 等. LDPC码量化和积译码的高效实现[J].西安电子科技大学学报(自然科学版). 2004, 31(5):709-711. DOI: 709

竺一婷.基于LDPC码和喷泉码级联的研究[D].杭州: 杭州电子科技大学, 2017.

张鹏飞.编码信道香农限的分析和计算[D].成都: 电子科技大学, 2006.

范芳, 冯雪林.基于变量节点更新改进的最小和算法[J].无线电工程, 2018, 48(2):121-125. DOI: 121

陈志, 白晋超.适用于IEEE802.16e标准的LDPC分层修正最小和译码算法[J].信息通信, 2018, 31(2):11-12. DOI: 11

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