基于正则化多阶MMSE的IRS辅助无人机通信系统信道估计算法

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中图分类号：TN929.5 文献标志码：A文章编号：1003-3114（2025）06-1297-09

Abstract：Inrecentyears，withthecontinuousadvancementofcommunicationtechnology，theperformancerequirementsof unmannedaerialvehiclecommunicationsystemshavebecomeincreasinglyhighAchannelestimationshemeforunmanedaeialehicle communicationsystemsasstedbyIntellgentReflectingSurfaces （IS）hasbeenproposedAthesame time，channelesimationas oneofthekeytasksinwirelesscommunicationsystes，directlyaectstheperformanceandeliabilityofthcommunicationsste. TradionalMinumMeanSquareEror（MMSE）algoritcanimproveteauracyofchaelstimationtosomeextent，tittil hascertain limitations incomplexcommunicationenvironmentsanddynamicallchangingchannelconditios.Tofurtherenhancethe chanelestimationperformanceofunmannedaerialvehiclecommunicationsystems，aregularizedtre-stage MMSEalgorithmhasben proposed.Basedonthetre-stageMMSEchannelestimationalgorithmcombinedwithregularizationprinciples，efectiveenhanceent of channel estimationis achieved.

Keywords：unmanned aerial vehicle；IRS；channel estimation;thre-stage MMSE algorithm；regularization

0引言

随着无人机技术在农业、物流、搜索救援等领域的广泛应用，确保其通信系统的高效率和可靠性变得尤为重要。（剩余12130字）