EventsEuropean Navigation Conference 2025
Published
This submission belongs to the session 1. Algorithms and Methods of the event European Navigation Conference 2025
Published date
02 Oct, 2025
Academic Editor
author-avatarTomasz Hadas
Citation
Yu Zhang, Xin Sun, Tianwei Hou, Anna Li, Sofie Pollin, Yuanwei Liu, Arumugam Nallanathan, Active Reconfigurable Intelligent Surface (ARIS) empowered Satellite Positioning Approach for Indoor Environments, in Proceedings of European Navigation Conference 2025, Wrocław, 21 May–23 May 2025, MDPI: Basel, Switzerland
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Active Reconfigurable Intelligent Surface (ARIS) empowered Satellite Positioning Approach for Indoor Environments

Xin Sun 1
image
Yuanwei Liu 5
1. School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, 100044, CN, China
2. School of Electronic Engineering and Computer Science, Queen Mary University of London, London E1 4NS, U.K.
3. School of Computing and Communications, Lancaster University, Lancaster LA1 4WA, U.K., China
4. Department of Electrical Engineering (ESAT), KU Leuve, Belgium, Belgium
5. Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, China
6. School of Electronic Engineering and Computer Science, Queen Mary University of London, London E1 4NS, U.K., UK
7. Department of Electronic Engineering, Kyung Hee University, Yongin-si, Gyeonggi-do 17104, Korea
Abstract

To mitigate the loss of satellite navigation signals in indoor environments, we propose an active reconfigurable intelligent surface (ARIS) empowered satellite positioning approach. Deployed on building structures, ARIS reflects navigation signals to indoor receivers to bypass obstructions, providing high-precision positioning services to receivers in non-line-of-sight (NLoS) areas. The path between ARIS and the receiver is defined as the extended line-of-sight (ELoS) path and an improved carrier phase observation equation is derived to accommodate that. The receiver compensates for its clock bias through network time synchronization, corrects the actual signal path satellite-ARIS-receiver to the satellite-receiver distance through a distance correction algorithm, and determines its position by using the least squares (LS) method.
Simulation results show that: in indoor environments, with time synchronization accuracy within a 10 ns error range, the proposed method provides positioning services with errors not exceeding 4 m.

Keywords
Global Navigation Satellite System (GNSS)
Indoor Environments
Reconfigurable Intelligent Surface (RIS)
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