TY - GEN
T1 - A study on multipath spatial correlation for GNSS collaborative positioning
AU - Zhang, Guohao
AU - Icking, Lucy
AU - Hsu, Li Ta
AU - Schön, Steffen
N1 - Publisher Copyright:
© 2021 Proceedings of the 34th International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS+ 2021. All rights reserved.
PY - 2021/9
Y1 - 2021/9
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85120892399&partnerID=8YFLogxK
U2 - 10.33012/2021.17942
DO - 10.33012/2021.17942
M3 - Conference article published in proceeding or book
AN - SCOPUS:85120892399
T3 - Proceedings of the 34th International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS+ 2021
SP - 2430
EP - 2444
BT - Proceedings of the 34th International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS+ 2021
PB - Institute of Navigation
T2 - 34th International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS+ 2021
Y2 - 20 September 2021 through 24 September 2021
ER -