基于RTK数据的终端特征提取与资源优化方法

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中图分类号：TN927.23 文献标志码：A文章编号：1003-3114（2025）06-1214-08

Abstract：Real-Time Kinematic（RTK）positioningtechnologyusesabasestationtocorrctsatelitepositioningsignalsfrommo bileterminals，hevingntieter-lvelig-pecisiondamicositiong.However，teal-tasmissionofTKataplacs highdemandsonreliabilityandlatency.Traditionalchannelstimationmethodsofenincuraddtionalcommunicationoverheadwichin turnffectss’somuicatioincyisaprplosasatial-palralworktproessdataiasificationandfeatureetractioisllsfoapidtiationoftalcanel，eliatingeeadsoiatedwiraditionalchanelstmationmethodsBasedonthis，weformulateaoptiizationproblemimedatimprovingtheeliabilityofKteinalommunicatiotasmissoAonstraiedantolonalgoriisitrducedtooptizetransmsionowerndanddthllcation.Noralizationisusedtoensuretotalbandwidthandpowerresourceconstraints，therebyimprovingservicefiessamongterinals.Experimentalsultsdemonstratethatthismetodaccuratelyclasifiestermialtypsandextractselevantchanelfaturesfor channel estimation，improving bothreliabilityand fairness inwirelesstransmisionunder powerand bandwidth constraints.

Keywords：RTKpositioning technology;spatial-temporal neural networks;channelestimation;constrainedantcolnyalgorithm

0引言

RTK技术在自动驾驶、无人机导航等高精度定位场景中得到了广泛应用[1-3]。（剩余10593字）