A study on multipath spatial correlation for GNSS collaborative positioning

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

Authors

  • Guohao Zhang
  • Lucy Icking
  • Li Ta Hsu
  • Steffen Schön

Research Organisations

External Research Organisations

  • Hong Kong Polytechnic University
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Details

Original languageEnglish
Title of host publicationProceedings of the 34th International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS+ 2021
Pages2430-2444
Number of pages15
ISBN (electronic)9780936406299
Publication statusPublished - 13 Oct 2021
Event34th International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS+ 2021 - St. Louis, United States
Duration: 20 Sept 202124 Sept 2021

Abstract

The accuracy of GNSS positioning is significantly degraded in urban areas, due to the signal reflections from buildings. The 3D mapping aided (3DMA) GNSS based collaborative positioning, integrating the 3DMA GNSS ray-tracing algorithm with the GNSS collaborative positioning, can sufficiently improve the positioning accuracy in the urban area, by eliminating the systematic errors and mitigating the multipath and NLOS reception errors simultaneously. However, the effectiveness of the collaborating agent or the collaborator selection strategy for a target agent in the urban area has not been investigated yet. The collaborating agent selection strategy based on the environment context or the measurement spatial correlation will be analyzed. Simulation result shows, collaborating with the agents from the open-sky environment can ensure the qualities of anchor positions and achieve a better collaborative positioning performance. On the other hand, the measurement spatial correlation occurs for the agents with similar environment geometry and improves the quality of relative position constraints during the collaborative positioning. As a result, collaborating with the spatial correlated agents can also achieve an accurate collaborative positioning solution comparing to the collaboration with open-sky agents.

ASJC Scopus subject areas

Cite this

A study on multipath spatial correlation for GNSS collaborative positioning. / Zhang, Guohao; Icking, Lucy; Hsu, Li Ta et al.
Proceedings of the 34th International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS+ 2021. 2021. p. 2430-2444.

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

Zhang, G, Icking, L, Hsu, LT & Schön, S 2021, A study on multipath spatial correlation for GNSS collaborative positioning. in Proceedings of the 34th International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS+ 2021. pp. 2430-2444, 34th International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS+ 2021, St. Louis, United States, 20 Sept 2021. https://doi.org/10.33012/2021.17942
Zhang, G., Icking, L., Hsu, L. T., & Schön, S. (2021). A study on multipath spatial correlation for GNSS collaborative positioning. In Proceedings of the 34th International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS+ 2021 (pp. 2430-2444) https://doi.org/10.33012/2021.17942
Zhang G, Icking L, Hsu LT, Schön S. A study on multipath spatial correlation for GNSS collaborative positioning. In Proceedings of the 34th International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS+ 2021. 2021. p. 2430-2444 doi: 10.33012/2021.17942
Zhang, Guohao ; Icking, Lucy ; Hsu, Li Ta et al. / A study on multipath spatial correlation for GNSS collaborative positioning. Proceedings of the 34th International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS+ 2021. 2021. pp. 2430-2444
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