Enhancement of Meter-Level Satellite-Based Service for Urban Applications

Heeseob Kim, Jeongho Lee, Sang Cherl Lee, Jeongrae Kim, Sung Kwan Ku

Peer Reviewed

Abstract:	Satellite-Based Augmentation Systems (SBAS) are widely utilized in various sectors, such as aviation, maritime, and rail, to provide high positioning accuracy and integrity. However, the efficacy of SBAS in urban environments is significantly hindered by frequent signal obstructions and multipath effects, which induce performance degradation. In a dense urban field, it may take a long time to receive a complete set of SBAS messages, and message blockage can occur due to high-rise buildings. This study focuses on enhancing satellite-based meter-level GNSS services for urban applications by proposing two primary approaches. First, we explore a multi-constellation architecture like QZSS—where different correction messages can be transmitted simultaneously from multiple satellites to reduce the message reception time at the initial period and the probability of message timeout events. Second, we introduce a prediction-based compensation for the operational environments where safety is not the primary driving factor and message timeouts occur frequently. By leveraging data-driven or physics-based models, information such as orbit scan be predicted precisely and transmitted to the satellites. The messages can be useful to mitigate performance degradation during message timeout periods. These proposed concepts are expected to significantly enhance the utility and reliability of meter-level positioning services for Urban Air Mobility (UAM) and autonomous driving in complex urban areas.
Published in:	Proceedings of the ION 2026 Pacific PNT Meeting April 13 - 16, 2026 Hilton Waikiki Beach Honolulu, Hawaii
Pages:	331 - 337
Cite this article:	Kim, Heeseob, Lee, Jeongho, Lee, Sang Cherl, Kim, Jeongrae, Ku, Sung Kwan, "Enhancement of Meter-Level Satellite-Based Service for Urban Applications," Proceedings of the ION 2026 Pacific PNT Meeting, Honolulu, Hawaii, April 2026, pp. 331-337. https://doi.org/10.33012/2026.20643
Full Paper:	ION Members/Non-Members: 1 Download Credit Sign In