基于场景几何特征的ETC识别范围预测方法

Prediction method of identification zone for ETC based on scenario geometric features

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。

Ultra high frequency（UHF） radio frequency identification（RFID） systems have many advantages,such as low tag cost and farther identification range.Therefore,it is meaningful in the field of intelligent transportation such as electronic toll collection（ETC）,etc.However,it is difficult to accurately estimate the tag identification area in practical applications for the random multipath propagation of radio waves.For ETC scenarios often have in common geometric features.This paper firstly analyzes the constitution of the tag received multipath waves,and then proposes a prediction method of tag identification area.The method is based on geometric optics theory and takes the scenario geometric features and antenna RF characteristics into consideration.Actual tests and simulations showed that the method can accurately predict the tag received power and identification area.The prediction accuracy is higher than the empirical models,and the computational complexity is lower than the electromagnetic computation software.