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为应对城市密集建筑环境对全球导航卫星系统(Global Navigation Satellite System, GNSS)定位精度造成的限制，提出了一种基于主动可重构智能超表面(Active Reconfigurable Intelligent Surface, ARIS)的新型卫星定位方法。通过在建筑物外墙部署ARIS模块，反射导航信号至遮挡区域内的用户，形成扩展视距(Extended Line of Sight, ELoS)路径，解决传统视距(Line of Sight, LoS)信号被遮挡的问题。构建了一个载波相位观测模型，通过引入伪钟差的概念结合网络时间同步技术，减小接收机的时钟误差对定位结果的影响。仿真结果显示，当ARIS能够接收到超过5颗卫星的信号时，所提方法可在信号受阻区域实现米级定位精度，有效提升城市峡谷场景中的定位能力。
Abstract：To address the restricts of dense urban environments on the positioning accuracy of Global Navigation Satellite System(GNSS), a novel satellite positioning approach leveraging Active Reconfigurable Intelligent Surfaces(ARIS) is proposed. ARIS modules installed on building facades redirect the navigation signals to users in obstructed areas, creating Extended Line of Sight(ELoS) paths to overcome limitations caused by blocked traditional Line of Sight(LoS) signals. A carrier phase observation model is developed, in which the concept of pseudo-clock bias with network time synchronization technology is introduced to reduce the impact of receiver clock errors on positioning accuracy. Simulation results show that meter-level positioning accuracy can be achieved in signal-blocked areas when ARIS detects signals from more than five satellites, effectively enhancing the performance in urban canyon environments.
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基本信息:
DOI：
中图分类号:P228.4;TN967.1
引用信息:
[1]张宇,孙昕,王俊等.面向城市密集环境的ARIS卫星定位解算方法[J].无线电工程,2025,55(04):784-791.
基金信息:
中央高校基本科研业务费(2023JBZY012,2024JBMC014); 国家自然科学基金青年科学基金(62201028); 中国科协青年人才托举计划(2022QNRC001); 北京市自然科学基金(L232041)~~