四端口多服务集成光学透明的汽车天线,用于车辆分类应用
Lekha Kannappan1,2, Sandeep Kumar Palaniswamy3, Malathi Kanagasabai4
1Department of Electronics and Communication Engineering, SRM Valliammai Engineering College, Kattankulathur, 603203, India.
Scientific reports
|October 17, 2023
概括
一个新的光学透明天线 (OTA) 在多个汽车频段中运行. 这种透明的天线技术与机器学习算法相结合,可增强用于电子收费等应用程序的车辆识别.
科学领域:
- 电磁和天线工程 电磁和天线工程
- 材料科学 材料科学 材料科学
- 机器学习应用 机器学习应用
背景情况:
- 越来越多的多功能汽车需求需要先进的天线解决方案.
- 光学透明天线 (OTA) 允许在汽车玻璃等表面上进行集成.
- 之前的OTA使用了透明导电氧化物 (TCO) 和导电聚合物.
研究的目的:
- 为汽车应用提出和评估一种新的三带光学透明天线 (OTA).
- 评估OTA对各种汽车和无线通信频段的性能.
- 引入机器学习 (ML) 技术,使用天线数据进行车辆分类.
主要方法:
- 设计和制造了一种三带OTA在苏打石灰玻璃上,用于散热器和地面平面使用透明导电氧化物 (TCO).
- 在车辆风玻璃和无声室内测试了OTA原型.
- 开发和评估了用于车辆分类的机器学习算法.
主要成果:
- 该OTA成功地运行在1.8GHz,2.4GHz,以及从3.39-12GHz的宽带.
- 测量的天线增益超过1dBi,效率超过80%.
- 拟议的ML算法在车辆分类中实现了80%的准确性.
结论:
- 开发的三带OTA适用于各种车辆通信和电子收费系统.
- 该OTA的性能指标 (收益和效率) 满足汽车集成的实际要求.
- 基于ML的车辆分类为智能运输系统提供了可行的解决方案.
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