基于NTN的手机直连卫星定位技术
Non-Terrestrial Network Based Positioning Technologies for Direct-to-Satellite Service
孙晓南 1周世东 2康绍莉1
作者信息
- 1. 中信科移动通信技术股份有限公司,北京 100083
- 2. 清华大学,北京 100084
- 折叠
摘要
随着无线通信技术的飞速发展,定位技术正经历从专用导航卫星系统向通信系统辅助定位,甚至独立定位的方向转变.国际标准化组织3GPP自R18开展了基于5G NTN的定位技术研究,推进通信导航一体化发展.考虑到终端可见的卫星数量,目前在3GPP中研究的主要是单星定位技术,存在收敛慢、定位精度低等不足.随着低轨巨型星座的发展,终端未来可见的卫星数目越来越多,因此多星定位成为可能,并相对于单星定位具有收敛快、几何布局好、精度高等优势.针对5G NTN体制的手机直连卫星定位技术进行研究,提出多种适合多星定位的算法,分析影响定位性能的关键因素并开展定位性能仿真评估.
Abstract
With the rapid evolution of wireless communication technologies,positioning technologies are undergoing a transformation from dedicated navigation satellite systems towards communication system-assisted positioning and even standalone positioning.The International Telecommunication Union's 3GPP,since Release 18,has embarked on researching 5G Non-Terrestrial Network(NTN)po-sitioning technologies,fostering the integration of communication and navigation.Considering the limited visibility of satellites to ter-minals,the primary focus of current 3GPP research lies in single-satellite positioning technology,which suffers from drawbacks such as slow convergence and low accuracy.However,with the emergence of low-Earth orbit mega-constellations,terminals will access to an increasing number of visible satellites in the future,rendering multi-satellite positioning feasible.Compared to single-satellite position-ing,multi-satellite positioning offers advantages such as faster convergence,improved geometric configurations and higher accuracy.This paper delves into the research of positioning technologies for Direct-to-Satellite Service(D2SS)within the 5G NTN framework,proposing various multi-satellite positioning algorithms,analyzing the critical factors influencing positioning performance,and conduct-ing simulation assessments of positioning performance.
关键词
通信导航一体化/多星定位/TDOA/Multi-RTT/多普勒定位Key words
navigation-communication integration/multi-satellite positioning/TDOA/Multi-RTT/Doppler-based positioning引用本文复制引用
基金项目
国家重点研发计划资助项目(2022YFB2902600)
出版年
2024
国家科技期刊平台
NSTL
万方数据