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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
Received:19 October 2023,
Revised:2024-02-05,
Published:25 April 2024
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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
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
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)的低信噪比下实现误帧率优于1.0×10
‒4
的高可靠通信.
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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).
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