基于基模图的码率兼容广义稀疏随机码及空天通信应用

章磊; 陈钊; 殷柳国

doi:10.12263/DZXB.20230972

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基于基模图的码率兼容广义稀疏随机码及空天通信应用

中国电子学会科学技术奖特约专栏 | 更新时间：2025-12-08

- 基于基模图的码率兼容广义稀疏随机码及空天通信应用
- Protograph-Based Rate-Compatible Generalized Sparse Random Codes and Its Applications in Space Communications
- 电子学报 2024年52卷第4期页码：1132-1143
- 作者机构：
  
  1.清华大学电子工程系，北京 100084
  2.清华大学北京信息科学与技术国家研究中心，北京 100084
- 作者简介：
  
  [ "章磊男，2000年10月出生于安徽省六安市.现为清华大学电子工程系博士生.主要研究方向为信道编码设计和隐蔽通信理论和技术研究.E-mail: 18810759221@163.com" ]
  [ "陈钊男，1988年6月出生于重庆.现为清华大学信息国家研究中心助理研究员.主要研究方向为空天通信编码、物理层安全通信.中国电子学会会员编号：E190031956M.E-mail: zhao_chen@tsinghua.edu.cn" ]
  [ "殷柳国男，1977年10月出生于广西贵港市.现任清华大学北京信息科学与技术国家研究中心研究员、博士生导师，主要研究方向为空天通信、LDPC编码和物理层安全通信.中国电子学会会员编号：E190005512F.E-mail: yinlg@tsinghua.edu.cn" ]
- 基金信息：
  
  国家自然科学基金(62025110;62101308)
- DOI：10.12263/DZXB.20230972
  中图分类号： TN911.22;TN919.4
- 收稿：2023-10-19，
  
  修回：2024-02-05，
  
  纸质出版：2024-04-25
- 稿件说明：
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章磊,陈钊,殷柳国. 基于基模图的码率兼容广义稀疏随机码及空天通信应用[J]. 电子学报,2024,52(04):1132-1143.

ZHANG Lei, CHEN Zhao, YIN Liu-guo. Protograph-Based Rate-Compatible Generalized Sparse Random Codes and Its Applications in Space Communications[J]. Acta Electronica Sinica, 2024, 52(04): 1132-1143.
章磊,陈钊,殷柳国. 基于基模图的码率兼容广义稀疏随机码及空天通信应用[J]. 电子学报,2024,52(04):1132-1143. DOI：10.12263/DZXB.20230972

ZHANG Lei, CHEN Zhao, YIN Liu-guo. Protograph-Based Rate-Compatible Generalized Sparse Random Codes and Its Applications in Space Communications[J]. Acta Electronica Sinica, 2024, 52(04): 1132-1143. DOI：10.12263/DZXB.20230972

摘要

空天通信信道时变性强且包含复杂干扰，而经典信道编码以高斯信道为假设设计，其直接应用将带来通信资源效率低、灵活性差、传输可靠性难以保障等问题.本文针对这一问题提出了一种基于基模图的广义稀疏随机编码构造及实现方法，通过在基于基模图随机编码架构上引入高维代数约束，提升了在极低码率下的编码纠错性能；进一步通过动态调整高维约束阶次和维数实现码率兼容，支持对信道非高斯特征以及传输业务需求的适配.测试结果表明，该编码可实现码率范围1/40~1可变、信息位长度104~20 000 bit可变、速率25 Kbps~10 Gbps可变的编译码，可在SNR=-37.1 dB（对应

https://html.publish.founderss.cn/rc-pub/api/common/picture?pictureId=94337939&type=

3.30200005

https://html.publish.founderss.cn/rc-pub/api/common/picture?pictureId=94337940&type=

21.75933456

）的低信噪比下实现误帧率优于1.0×10

‒4

的高可靠通信.

Abstract

Space communication is facing with harsh and dynamically changing electromagnetic environments. As the classical coding algorithm is designed based on the assumption of Gaussian channels

its direct application in space communication will result in low communication resource efficiency

poor flexibility

and transmission reliability deficiencies. This paper proposes a protograph-based generalized sparse random coding construction and implementation method for non-Gaussian channels in space communication. By introducing high-dimensional algebraic constraints on the protograph-based random coding architecture

the decoding performance at extremely low code rates is improved. This paper also proposes a multi-rate compatible coding structure for non-Gaussian channels and different application scenarios by dynamically adjusting the order and dimension of high-dimensional constraints. Finally

test results show that the proposed codes can achieve a large coding rate ranging from 1/40 to approximately 1

a variable information length ranging from 104 bits to 20000 bits

and a variable throughput ranging from 25 Kbps to 10 Gbps

which can achieve a frame error rate of 1.0×10

‒4

at a low SNR of -37.1 dB (corresponding to

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3.30200005

https://html.publish.founderss.cn/rc-pub/api/common/picture?pictureId=94337954&type=

22.01333237

关键词

Keywords

references

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