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
章磊 1陈钊 2殷柳国2
作者信息
- 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
- 折叠
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Eb/N0=-0.79dB)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 com-munication 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 adjust-ing 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 Eb/N0=-0.79 dB).
关键词
空天通信/广义稀疏随机码/非高斯信道/编码构造/码率兼容Key words
space communication/generalized sparse random codes/non-Gaussian channel/code construction/rate-compatible引用本文复制引用
基金项目
国家自然科学基金(62025110)
国家自然科学基金(62101308)
出版年
2024
国家科技期刊平台
NSTL
万方数据