Generalized sparse codes for non-Gaussian channels:Code design,algorithms,and applications  被引量:3

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作  者:Zhao Chen Zhen Sun Yukui Pei Liuguo Yin 

机构地区:[1]Beijing National Research Center for Information Science and Technology,Tsinghua University,Beijing 100084,China [2]Department of Electronic Engineering,Tsinghua University,Beijing 100084,China [3]Frontier Science Center for Quantum Information,Beijing 100084,China

出  处:《Fundamental Research》2022年第2期284-295,共12页自然科学基础研究(英文版)

基  金:This work was supported by the National Natural Science Foundation of China(Grants No.62025110 and 62101308).

摘  要:In this paper,generalized sparse(GS)codes are proposed to support reliable and efficient transmission over non-Gaussian channels.Specifically,by expanding the single-parity check(SPC)code constraints with powerful algebraic codes,GS codes generalize conventional sparse codes with enhanced error-correcting capability,as well as better code design flexibility by covering a wide range of block-lengths and coding rates with reduced encoding/decoding complexity.Moreover,by introducing a universal communication channel model,a general framework for performance analysis and code design of GS codes is formulated,by which the coding parameters can be optimized for different target channel conditions.Finally,example codes are constructed for several critical application scenarios with non-Gaussian channels.Numerical simulations are performed to demonstrate the superiority of the proposed GS coding scheme to traditional channel coding schemes.

关 键 词:Generalized sparse codes Low-density parity-check codes Low-density BCH codes Non-Gaussian channels EXIT Chart analysis 

分 类 号:TP183[自动化与计算机技术—控制理论与控制工程]

 

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