| Abstract: | Collective Detection (CD) is an acquisition method, which utilize the combined correlations from all in-view satellite signals in the navigation domain. Existing base station-assisted CD methods generally rely the position of a cellular base station (BS) tower as a prior estimate of the GNSS receiver location, followed by high-dimensional refinement searches within the coverage area of the BS. However, the typical coverage radius of a cellular BS ranges from several hundred meters to a few kilometers. Such a global search strategy, lacking effective prior constraints, results in a substantial number of candidate grid points that must be considered during the navigation domain combined correlations calculation. To alleviate the computational burden of the aforementioned methods, this paper proposes a 5G-assisted CD method for navigation domain acquisition. The core idea of the proposed method is to incorporate the Observed Time Difference of Arrival (OTDOA)-based 5G positioning technique to obtain a coarse estimation of the GNSS receiver’s location for the initialization of the CD acquisition. The 5G positioning solution provides more accurate a priori information, which means much smaller space can be utilized for the navigation-domain combined correlation calculation for CD acquisition. The proposed method effectively reduces the number of navigation domain candidate grid points hence enhances the acquisition efficiency. Simulation results demonstrate that the proposed method achieves a substantial improvement in acquisition efficiency compared to traditional CD approaches. |
| Published in: |
Proceedings of the 38th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2025) September 8 - 12, 2025 Hilton Baltimore Inner Harbor Baltimore, Maryland |
| Pages: | 414 - 426 |
| Cite this article: | Xu, Xinying, Xia, Dong, Jia, Qiongqiong, "5G-Assisted Navigation-Domain Code Phase Joint Acquisition Method," Proceedings of the 38th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2025), Baltimore, Maryland, September 2025, pp. 414-426. https://doi.org/10.33012/2025.20355 |
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