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工业互联网低功耗数据链算法设计综述——联合信源信道编码设计的必要性、现实与前景

王琳 刘三亚 陈辰 陈启望

王琳, 刘三亚, 陈辰, 陈启望. 工业互联网低功耗数据链算法设计综述——联合信源信道编码设计的必要性、现实与前景[J]. 电子与信息学报, 2020, 42(1): 249-262. doi: 10.11999/JEIT190762
引用本文: 王琳, 刘三亚, 陈辰, 陈启望. 工业互联网低功耗数据链算法设计综述——联合信源信道编码设计的必要性、现实与前景[J]. 电子与信息学报, 2020, 42(1): 249-262. doi: 10.11999/JEIT190762
Lin WANG, Sanya LIU, Chen CHEN, Qiwang CHEN. Overview of Low Power Data Link Algorithms Design for Industrial Internet——Necessity, Reality and Prospect of JSCC Design[J]. Journal of Electronics & Information Technology, 2020, 42(1): 249-262. doi: 10.11999/JEIT190762
Citation: Lin WANG, Sanya LIU, Chen CHEN, Qiwang CHEN. Overview of Low Power Data Link Algorithms Design for Industrial Internet——Necessity, Reality and Prospect of JSCC Design[J]. Journal of Electronics & Information Technology, 2020, 42(1): 249-262. doi: 10.11999/JEIT190762

工业互联网低功耗数据链算法设计综述——联合信源信道编码设计的必要性、现实与前景

doi: 10.11999/JEIT190762
基金项目: 国家自然科学基金(61671395)
详细信息
    作者简介:

    王琳:男,1963年生,教授,研究方向为信息论与宽带无线通信理论

    刘三亚:女,1988年生,博士生,研究方向为联合信源信道编码

    陈辰:女,1990年生,讲师,研究方向为联合信源信道编码

    陈启望:男,1990年生,讲师,研究方向为联合信源信道编码

    通讯作者:

    刘三亚 sanyaliu1106@gmail.com

  • 中图分类号: TN911.22

Overview of Low Power Data Link Algorithms Design for Industrial Internet——Necessity, Reality and Prospect of JSCC Design

Funds: The National Natural Science Foundation of China (61671395)
  • 摘要:

    原模图低密度奇偶校验(P-LDPC)码已经广泛应用于各种通信系统,为了使其能够满足不同应用场景下系统对纠错性能、硬件资源损耗以及功耗等方面的要求,需要对P-LDPC码进行进一步的设计优化。该文主要从标准信道环境下基于双P-LDPC(DP-LDPC)码的联合信源信道编码(JSCC)系统的属性研究、系统设计优化以及性能表现等角度入手,对近些年出现的针对该系统环境所做的优化分析工作进行了综述。表明进行的优化工作属实显著地改善了系统性能,为面向工业互联网(II)的LDPC码的研究工作提供些许思路。最后,该文对未来的研究工作进行了展望,为感兴趣的研究学者提供参考以继续推进。

  • 图  1  基于DP-LDPC码的JSCC系统框图

    图  2  基于P-LDPC码的JSCC系统的编码Tanner图

    图  3  不同熵值、不同传输码率时基于DP-LDPC码的JSCC系统BER性能

    图  4  图像高频部分使用基于DP-LDPC的JSCC系统进行处理的不等保护传输系统框图

    图  5  SNR=0 dB时不同不等保护方案下恢复出的图像

    图  6  基于DP-LDPC码的JSCC系统采用不同信源P-LDPC码的BER性能对比(码率为1/2)

    图  7  基于DP-LDPC码的JSCC系统采用不同信源P-LDPC码的BER性能对比(码率为1/3和1/4)

    图  8  基于DP-LDPC码的JSCC系统采用不同的信道P-LDPC码的BER性能对比(${{B}}_{\rm{L2}}=0$, $p(1) = 0.010$)

    图  9  基于DP-LDPC码的JSCC系统采用不同的信道P-LDPC码的BER性能对比(${{{B}}_{{\rm{L2}}}} \ne 0$, $p(1) = 0.020$)

    图  10  当信源统计概率$p(1) = 0.0{\rm{8}}$$p(1) = 0.0{\rm{5}}$时,提出的搜索算法与传统优化方法的仿真结果对比

    图  11  信源译码器与信道译码器之间的互信息迭代译码框图

    图  12  (R4JA, AR4JA)与针对渐近无限长码设计的码型BER性能对比

    图  13  (R4JA, AR4JA) 与针对中短长码设计的码型BER性能对比 (L=3200)

    图  14  不同$ {{{B}}_{\rm{J}}}$在统计概率为$p(1) = 0.01$时的BER性能对比

    图  15  不同$ {{{B}}_{\rm{J}}}$在统计概率为$p(1) = 0.04$时的BER性能对比

    表  1  不同信源统计特性以及不同信道编码矩阵在基于DP-LDPC码的JSCC系统下对应的译码门限值

    ${p_{(1)}} = 0.010$${p_{(1)}} = 0.015$${p_{(1)} } = 0.020$
    BAR4JA–2.524–1.450–0.632
    BIARA–1–3.145–1.984–1.155
    BAR3A–3.248–1.910–0.965
    BIARA–2–3.438–2.254–1.379
    下载: 导出CSV

    表  2  针对${{{B}}_{\rm{L1}}}$的搜索算法

     (1) 给出$p(1)$, ${{{B}}_{\rm{s}}}$, ${{{B}}_{\rm{c}}}$,且有${{{B}}_{\rm{L2}}}=0$;
     (2) 初始化化${{{B}}_{\rm{L1}}}=0$;
     (3) 合并${{{B}}_{\rm{s}}}$, ${{{B}}_{\rm{c}}}$, ${{{B}}_{\rm{L1}}}$和${{{B}}_{\rm{L2}}}$,即为初始的${{{B}}_{\rm{J}}}$;
     (4) ${{{B}}_{{\rm{J}}\_{\rm{min}}}} \leftarrow {{{B}}_{\rm{J}}}$, $\delta \left( {{{{B}}_{{\rm{J}}\_{\rm{min}}}},p(1)} \right) \leftarrow \delta \left( {{{{B}}_{\rm{J}}},p(1)} \right)$;
     (5) 如果$p(1) < p{(1)^{{\rm{st}}}}$
     (6) 遍历除去信道码中的预编码器的所有的链接;
     (7) 根据约束条件式(2)改变${{{B}}_{\rm{L1}}}$;
     (8) 如果$ \delta \left( {{{{B}}_{\rm{J}}},p(1)} \right) < \delta \left( {{{{B}}_{{\rm{J}}\_ {\rm{min}}}},p(1)} \right)$
     (9) ${{{B}}_{{\rm{J}}\_ {\rm{min}}}} \leftarrow {{{B}}_{\rm{J}}}$, $\delta \left( {{{{B}}_{{\rm{J}}\_{\rm{min}}}},p(1)} \right) \leftarrow \delta \left( {{{{B}}_{\rm{J}}},p(1)} \right)$;
     (10) 输出:${{{B}}_{{\rm{J}}\_ {\rm{min}}}}$, $\delta \left( {{{{B}}_{{\rm{J}}\_ {\rm{min}}}},p(1)} \right)$
    下载: 导出CSV
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出版历程
  • 收稿日期:  2019-10-08
  • 修回日期:  2019-11-16
  • 网络出版日期:  2019-11-25
  • 刊出日期:  2020-01-21

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