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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

章磊 陈钊 殷柳国

电子学报2024,Vol.52Issue(4):1132-1143,12.
电子学报2024,Vol.52Issue(4):1132-1143,12.DOI:10.12263/DZXB.20230972

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

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

分类

信息技术与安全科学

引用本文复制引用

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(4):1132-1143,12.

基金项目

国家自然科学基金(No.62025110,No.62101308) National Natural Science Foundation of China(No.62025110,No.62101308) (No.62025110,No.62101308)

电子学报

OA北大核心CSTPCD

0372-2112

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