基于5G网络的惯性和GNSS系统的多传感器精确定位

R. Miletiev, E. Iontchev, R. Yordanov
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引用次数: 0

摘要

基于全球导航卫星系统(GNSS)和惯性测量单元(IMU)的精确定位要求很高的更新速率,在大多数情况下超过20Hz。智能跟踪定位机器人、虚拟现实设备或自动驾驶汽车等远程控制实时定位系统(RTLS)的数据传输和实时位置和运动分析对其运行至关重要。5G网络中的窄带NB-IoT可以应用于满足从制造业到工业的所有需求。本文提出了一种基于MEMS传感器和高更新率GNSS接收机的多传感器精确定位系统,能够实时监测系统的位置和空间位置。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multisensor precision positioning based on inertial and GNSS systems via 5G network
The precision positioning based on Global Navigation Satellite System (GNSS) and inertial measurement unit (IMU) requires the high update rates which in the most of cases exceeded 20Hz. The data transmission and the real – time position and motion analysis of the remote controlled real – time locating systems (RTLS), such as intelligent tracking positioning robots, virtual reality devices or autonomous vehicles, is critical for their operation. The narrowband NB-IoT in 5G networks may be applied to satisfy everything from manufacturing and industrial needs. The current paper represents the multisensor precision positioning system based on MEMS sensors and GNSS receiver with high update rate which is capable of real-time monitoring of the system location and spatial position.
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