I基于5G通信技术下的无人驾驶汽车摘要：作为移动通信的新一代的主要技术，通信技术的核心由4G逐渐转向5G，5G的发展有了不小的突破。但对于无人车辆而言，在道路行使时，道路上的各种阻碍物不能被及时检测识别出来以此作出相应避让，将对生命财产造成相应损失。本文基于MIMO天线系统构建5G无线通信的信号传输系统模型，结合深度学习算法，对无人驾驶识别搭建深度学习分类网络，对数据样本集进行了训练建模，并对实验数据进行了测试，得到了较好的识别精度。关键词：5G通信；信号传输系统模型；分类网络；IIDriverlessCarsBasedon5GCommunicationTechnologyAbstract:Asthemaintechnologyofthenewgenerationofmobilecommunication,thecoreofcommunicationtechnologyhasgraduallyshiftedshiftedfrom4Gto5G,5Ghasmadeagreatbreakthrough.Butforthedriverlesscars,ontheroad,theobstaclesontheroadcannotbedetectedandidentifiedintimetoavoidthem,anditwillcausecorrespondinglossoflifeandproperty.Thepaperconstructsasingletransmissionsystemmodelfor5GwirelesscommunicationbasedonMIMOantennasystemstructure.CombiningDepthLearningAlgorithm,andbuildingadeeplearningclassificationnetworkfordriverlessrecognition.Makingtrainingmodelingofdatasamplesets.Andtesttheexperimentaldata,thenobtainedagoodrecognition.Keywords:5Gcommunications;modelofsignaltransmissionsystem;classificationnetwork;III目录1、绪论·····························································11.1研究背景及意义·················································11.2国内外研究现状·················································11.2.15G通信技术研究现状········································11.2.2无人驾驶目标识别研究现状·································11.3论文组织结构···················································22、无人驾驶通信系统理论分析········································32.1传播射线概述··················································32.25G通讯技术概述···············································42.3基于5G无线通信的信号传输系统模型······························62.3.1信号传输模型·············································62.4本章小结·······················································83、无人驾驶技术在5G网络中的应用····································83.1无人驾驶等级···················································8IV3.2无人驾驶在5G网络中的时机应用·································84、深度学习无人驾驶识别及技术······································94.1基本网络结构··················································94.2区域建议网络··················································104.3锚框················································...
