“RIS辅助的通感一体化”专题1基于稀疏度自适应的RIS辅助无线通信系统信道估计张馨宇12，杜江12，胡斐1-2（1.成都信息工程大学通信工程学院，四川成都610000；2.气象信息与信号处理四川省高校重点实验室，四川成都610000）【摘要】对于RIS辅助的无线通信系统中信道估计算法的研究，提出了DS-SAMP算法，与已有的DS-OMP算法相比，DS-SAMP算法应用毫米波信道在角度域的双结构稀疏性，采用SAMP算法进行信号恢复，通过设置合理的步长和阈值使得在运行过程中不需要稀疏度等先验条件，扩宽算法的应用范围。仿真结果显示，DS-SAMP算法能在稀疏度未知的条件下将信号稳定恢复，完成相应信道估计，有显著优势。【关键词】RIS；信道估计；SAMP；双结构稀疏doi:10.3969/j.issn.1006-1010.20231227-0003中图分类号：TN929.5文献标志码：A文章编号：1006-1010(2024)04-0100-05引用格式：张馨宇,杜江,胡斐.基于稀疏度自适应的RIS辅助无线通信系统信道估计[].移动通信,2024,48(4)：100-104.ZHANGXinyu,DUJiang,HUFei.ChannelEstimationofRIS-assistedWirelessCommunicationSystemBasedonSparsityAdaptive[JJ.MobileCommunications,2024,48(4):100-104.ChannelEstimationofRIS-assistedWirelessCommunicationSystemBased2.MeteorologicalInformationandSignalProcessingKeyLaboratoryofSichuanEducationInstitutes,Chengdu610000,China)[Abstract]Fortheresearchonchannelestimationalgorithmsforreconfigurableintelligentsurface(RIS)-assistedwirelesscommunicationsystem,doublestructuredsparseadaptivematchingpursuit(DS-SAMP)algorithmisproposed.ComparedwiththeexistingDS-OMPalgorithm,DS-SAMPalgorithmleveragesthedualstructuresparsityintheangulardomainofmillimeterwavechannels,wheretheSAMPalgorithmisusedforsignalrecovery.Bysettingreasonablestepsizeandthresholdvalue,thepriorconditionssuchassparsityarenotrequiredintherunningprocess,andtheapplicationscopeofthealgorithmisexpanded.ThesimulationresultsshowthattheDS-SAMPalgorithmcansteadilyrecoverthesignalandcompletethecorrespondingchannelestimationundertheconditionofunknownsparsity,demonstratingsignificantadvantagesoftheproposedalgorithm.[Keywords]RIS;channelestimation;SAMP;double-structuredsparsityOSID:onSparsityAdaptiveZHANGXinyu"*,DUJiang'",HUFei-(1.C...
