基于压缩感知贪婪算法SA-SWOMP的MIMO-OTFS信道估计

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关键词：高速移动场景；正交时频空间；多输入多输出；信道估计；稀疏自适应分段弱正交匹配追踪；信道稀疏度 中图分类号：TN929.5-34 文献标识码：A 文章编号：1004-373X（2026）09-0015-07

MIMO-OTFS channel estimation using SA-SWOMP greedy algorithm within a compressive sensingframework

Liu Ting'， Chang Jun1，2 ，Luo Jingxia¹，DuanFei¹，LiuXilongl （1.SchoolofInformationScienceandEngineering，YunnanUniversity，Kunming65o5oo，China; 2.YunanProvincialUniversityKeyLaboratoryofInternetofTingsTechnologyandApplication，Kunming65OoooChina）

Abstract：For multiple-input multiple-outputorthogonaltime frequency space （MIMO-OTFS）systems，the existinggreedy iterativecompresedsensingalgorithmssuferfromdegradedchannelestimationaccuracyduetothelackofpriorknowledge aboutchanel sparsityInviewof this，the paperproposesasparse adaptivestagewiseweak orthogonal matching pursuit （SA-SWOMP）algorithm.Thealgorithmdynamicallyadjuststhethresholdofatomselectionbyresidualnorm，eliminates redundantatomsfromtheselectedatomsbyintroducingbacktrackingmechanismandoptimizingitsprocess，andfinallyrealizes high-precisionadaptivechannelreconstruction.Thesimulationsdemonstratethatwhenthenumberofantennas is64andthe pilotfrequencyoverheadratioisO.5，thenormalizedmeansquareeror（NMSE）of theSA-SWOMPalgorithmisreducedby1.6dB onaverage incomparisonwiththatofthe3Dstructuredorthogonalmatchingpursuit （D-SOMP）algorithm.Additionalythetime overheadratioof the SA-SWOMPalgorithmisreducedby5.9%to 44.8% incomparisonwith thatof the3D-SOMPalgorithm. Thecomputationalcomplexityandaccuracyof theproposedalgorithmhavebeenimproved tosomeextent，soithasacertain applicability.

Keywords：high-mobilityscenario;OTS;multiple-inputmultiple-output;channel estimation;SA-SWOMP;channel sparsity

0 引言

第六代移动通信技术的目标是为高移动性场景中的用户提供稳定可靠的通信服务。（剩余11750字）