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Active Reconfigurable Intelligent Surface (ARIS) empowered Satellite Positioning Approach for Indoor Environments
1 , 1 , * 1, 2 , 3 , 4 , 5 , 2, 6
1  School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, 100044, CN
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.
4  Department of Electrical Engineering (ESAT), KU Leuve, Belgium
5  Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong
6  Department of Electronic Engineering, Kyung Hee University, Yongin-si, Gyeonggi-do 17104, Korea
Academic Editor: Tomasz Hadas

Published: 02 October 2025 by MDPI in European Navigation Conference 2025 topic Algorithms and Methods
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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