摘要
车辆定位是车联网技术中重要组成部分,当前城市高楼密集区等环境下,车载全球导航卫星系统定位精度不佳,难以实现高精度定位。随着5G无线通信的快速发展,用组合定位来改善车辆定位精度具有重要意义。本文通过研究车辆运行中传感器采集到的速度及偏转角度信息,结合5G通信系统,提出一种基于5G的车载组合导航系统来提高定位精度,仿真结果表明,在室内或室内外交界处等缺少GNSS信号情况下,组合导航系统能够有效提高车辆定位精度。
Vehicle positioning is an important part of the Internet of Vehicles technology. The vehicle-mounted global navigation satellite system is characterized with poor positioning accuracy and even inability to locate in the environment with complex multipath interference such as dense urban high-rise areas. With the rapid development of 5G wireless communication, it is of great significance to use combined positioning to improve vehicle positioning accuracy. In this paper, by studying the speed and yaw angle information collected by the sensors during vehicle operation, combined with the 5G communication system, a 5G-based vehicle-mounted integrated navigation system is proposed to improve the positioning accuracy. The simulation results show that the vehicle positioning accuracy can be effectively improved by the integrated navigation system in indoor or indoor-outdoor boundary lack of GNSS signal.
出处
《计算机科学与应用》
2020年第9期1618-1624,共7页
Computer Science and Application
关键词
车辆定位
5G
车载传感器
组合导航
Vehicle Positioning
5G
Vehicle Sensors
Integrated Navigation