基于场景几何特征的ETC识别范围预测方法

发布时间：2018-03-29 19:33

本文选题：射频识别　切入点：电子不停车收费　出处：《仪器仪表学报》2017年02期

【摘要】：超高频(UHF)射频识别(RFID)系统具有标签成本低、识别距离远等优点,在电子不停车收费(ETC)等智能交通领域具有应用潜力。受电波的随机多径传播制约,实际应用中难以准确估计标签识别范围。针对ETC应用场景具有几何共性的特点,基于电波传播的几何光学方法,通过对标签接收多径射线的构成进行分析,融入场景几何特征和天线射频特征参数,提出了一种标签识别范围的预测方法。实际场景测试与仿真表明,能较精确预测标签在三维空间中的接收功率分布和识别范围,且精确性高于对数正态等经验模型,而复杂性低于电磁场的商用仿真软件。
[Abstract]:UHF RFID / RFID system has the advantages of low tag cost, long identification distance and so on. It has potential application in intelligent transportation fields such as electronic toll collection and ETC.It is restricted by the random multipath propagation of radio waves. It is difficult to estimate the recognition range of tag in practical application. In view of the geometric commonness of ETC application scene, based on the geometric optics method of radio wave propagation, the composition of multipath ray received by tag is analyzed. A prediction method of tag recognition range is proposed by incorporating the geometric feature of scene and antenna RF feature parameter. The actual scene test and simulation show that the received power distribution and recognition range of tag in 3D space can be predicted more accurately. The accuracy of the model is higher than that of the logarithmic normal model, but the complexity is lower than that of the commercial simulation software of electromagnetic field.
【作者单位】：合肥工业大学电气与自动化工程学院;湖南科技大学物理与电子科学学院;
【基金】：国家自然科学基金(61377024);国家自然科学基金青年科学基金(61401139) 湖南省教育厅科学研究项目(1640641) 中央高校基本科研业务费专项资金(105-4115103033)项目资助
【分类号】：U495;TP391.44

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