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Research Article | Open Access

Toward Massive Satellite Signals of Opportunity Positioning: Challenges, Methods, and Experiments

Guangteng Fan1,†, Xi Chen2,†, Zhaoyue Chen3, Ruichen Zhang1, Peng Wu1, Qihui Wei2, Wenjun Xu3, Jincheng Dai3, Lu Cao1( )
Defense Innovation Institute, Chinese Academy of Military Science, Beijing, China
National Research Center for Information Science and Technology, Tsinghua University, Beijing, China
School of Astronautics, Beihang University, Beijing, China
Department of Intelligent Information Engineering, Beijing University of Posts and Telecommunications, Beijing, China

†These authors contributed equally to this work.

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Abstract

Satellite signals of opportunity positioning (SSOOP) attempts to work out a navigation solution with many non-global navigation satellite systems (GNSS) satellite signals, when GNSS signals are not available. It is promising in addressing GNSS vulnerability by using an overwhelming quantity of satellites with diverse signal formats, multiple radio bands, and global availability. How to figure out an applicable receiver position from the signals transmitted by anonymous satellites with unknown emission time? Toward massive SSOOP, this work contributes (a) a summary of the fundamental challenges by reviewing the mathematical formulations of SSOOP problem; (b) a set of proposed methods for SSOOP, including orbit predication, signal processing, and different modes of user positioning; (c) an analysis on the orbit prediction precision of two-line elements (TLEs) at different geographic locations on Earth and its impact on positioning performance, based on the orbit data obtained from our experimental (international ID: 40136) satellite that has a similar orbit height as the IRIDIUM satellites; and (d) the design and test result of an IRIDIUM SSOOP receiver prototype for verifying the proposed methods and corroborating the analysis, which showed a CEP ≈892 m (circular error probable) in standalone mode tests and a CEP ≈40 m in differential mode tests.

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Space: Science & Technology
Article number: 0191

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Cite this article:
Fan G, Chen X, Chen Z, et al. Toward Massive Satellite Signals of Opportunity Positioning: Challenges, Methods, and Experiments. Space: Science & Technology, 2024, 4: 0191. https://doi.org/10.34133/space.0191

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Received: 24 March 2024
Accepted: 20 June 2024
Published: 25 July 2024
© 2024 Guangteng Fan et al. Exclusive licensee Beijing Institute of Technology Press. No claim to original U.S. Government Works.

Distributed under a Creative Commons Attribution License 4.0 (CC BY 4.0).