A study on multipath spatial correlation for GNSS collaborative positioning

authored by: Guohao Zhang, Lucy Icking, Li Ta Hsu, Steffen Schön
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.
Organisation(s): Institute of Geodesy
External Organisation(s): Hong Kong Polytechnic University
Type: Conference contribution
Pages: 2430-2444
No. of pages: 15
Publication date: 13.10.2021
Publication status: Published
Peer reviewed: Yes
ASJC Scopus subject areas: Computer Science Applications, Software, Electrical and Electronic Engineering
Electronic version(s): https://doi.org/10.33012/2021.17942 (Access: Open)
: Details in the research portal "Research@Leibniz University"

BibTeX

@inproceedings{b0e58c353b4148c7b6e13142c56b0417,
title = "A study on multipath spatial correlation for GNSS collaborative positioning",
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.",
author = "Guohao Zhang and Lucy Icking and Hsu, {Li Ta} and Steffen Sch{\"o}n",
year = "2021",
month = oct,
day = "13",
doi = "10.33012/2021.17942",
language = "English",
pages = "2430--2444",
booktitle = "Proceedings of the 34th International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS+ 2021",
publisher = "Institute of Navigation",
note = "34th International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS+ 2021 ; Conference date: 20-09-2021 Through 24-09-2021",
}