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Modeling of Real Time Kinematics localization error for use in 5G networks
EURASIP Journal on Wireless Communications and Networking ( IF 2.6 ) Pub Date : 2020-01-31 , DOI: 10.1186/s13638-020-1641-8
Marcin Hoffmann , Paweł Kryszkiewicz , Georgios P. Koudouridis

Abstract

In 5G networks information about localization of a user equipment (UE) can be used not only for emergency calls or location-based services, but also for the network optimization applications, e.g., network management or dynamic spectrum access by using Radio Environment Maps (REM). However, some of these applications require much better localization accuracy than currently available in 4G systems. One promising localization method is Global Navigation Satellite System (GNSS)-based Real-Time Kinematics (RTK). While the signal received from satellites is the same as in traditional GNSS, a new reception method utilizing real-time data from a nearby reference station (e.g., 5G base station) results in cm-level positioning accuracy. The aim of this paper is to obtain a model of the RTK localization error for smartphone-grade GNSS antenna under open-sky conditions, that can be used in 5G network simulators. First, a tutorial-style overview of RTK positioning, and satellite orbits prediction is provided. Next, an RTK localization simulator is implemented utilizing GNSS satellites constellations. Results are investigated statistically to provide a simple, yet accurate RTK localization error framework, which is based on two Gauss-Markov process generators parametrized by visible satellites geometry, UE motion, and UE-satellite distance error variance.



中文翻译:

用于5G网络的实时运动学本地化误差建模

摘要

在5G网络中,有关用户设备(UE)本地化的信息不仅可以用于紧急呼叫或基于位置的服务,还可以用于网络优化应用程序,例如,通过使用无线电环境图(REM)进行网络管理或动态频谱访问)。但是,这些应用中的某些要求比4G系统中当前可用的定位精度好得多。一种有希望的定位方法是基于全球导航卫星系统(GNSS)的实时运动学(RTK)。尽管从卫星接收的信号与传统GNSS中的信号相同,但是一种利用来自附近参考站(例如5G基站)的实时数据的新接收方法会导致厘米级的定位精度。本文的目的是获得在开阔天空条件下智能手机级GNSS天线的RTK定位误差模型,该模型可用于5G网络模拟器。首先,提供了教程风格的RTK定位概述以及卫星轨道预测。接下来,利用GNSS卫星星座实现RTK定位模拟器。对结果进行统计调查,以提供一个简单而准确的RTK定位误差框架,该框架基于两个由可见卫星几何形状,UE运动和UE-卫星距离误差方差参数化的高斯-马尔可夫过程生成器。RTK定位模拟器是利用GNSS卫星星座实现的。对结果进行统计调查,以提供一个简单而准确的RTK定位误差框架,该框架基于两个由可见卫星几何形状,UE运动和UE-卫星距离误差方差参数化的高斯-马尔可夫过程生成器。RTK定位模拟器是利用GNSS卫星星座实现的。对结果进行统计调查,以提供一个简单而准确的RTK定位误差框架,该框架基于两个由可见卫星几何形状,UE运动和UE-卫星距离误差方差参数化的高斯-马尔可夫过程生成器。

更新日期:2020-01-31
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