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Computer Science > Robotics

arXiv:2408.13823 (cs)
[Submitted on 25 Aug 2024]

Title:Improving GNSS Positioning in Challenging Urban Areas by Digital Twin Database Correction

Authors:Jiarong Lian, Jiayi Zhou, Guohao Zhang, Li-Ta Hsu
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Abstract:Accurate positioning technology is the foundation for industry and business applications. Although indoor and outdoor positioning techniques have been well studied separately, positioning performance in the intermediate period of changing the positioning environment is still challenging. This paper proposed a digital twin-aided positioning correction method for seamless positioning focusing on improving the receiver's outdoor positioning performance in urban areas, where the change of the positioning environment usually happens. The proposed algorithm will simulate the positioning solution for virtual receivers in a grid-based digital twin. Based on the simulated positioning solutions, a statistical model will be used to study the positioning characteristics and generate a correction information database for real receivers to improve their positioning performance. This algorithm has a low computation load on the receiver side and does not require a specially designed antenna, making it implementable for small-sized devices.
Comments: 7 pages conference paper in indoor positioning and indoor navigation 2024
Subjects: Robotics (cs.RO)
Cite as: arXiv:2408.13823 [cs.RO]
  (or arXiv:2408.13823v1 [cs.RO] for this version)
  https://doi.org/10.48550/arXiv.2408.13823

Submission history

From: Jiarong Lian [view email]
[v1] Sun, 25 Aug 2024 12:32:52 UTC (7,865 KB)
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