Protograph-Based Rate-Compatible Generalized Sparse Random Codes and Its Applications in Space Communications
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).
space communicationgeneralized sparse random codesnon-Gaussian channelcode constructionrate-compatible
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