Details
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 2022 International Technical Meeting of The Institute of Navigation, ITM 2022 |
| Pages | 712-722 |
| Number of pages | 11 |
| ISBN (electronic) | 9780936406305 |
| Publication status | Published - 2022 |
| Event | 2022 International Technical Meeting of The Institute of Navigation, ITM 2022 - Long Beach, United States Duration: 25 Jan 2022 → 27 Jan 2022 |
Publication series
| Name | Proceedings of the International Technical Meeting of The Institute of Navigation, ITM |
|---|---|
| Volume | 2022-January |
| ISSN (Print) | 2330-3662 |
| ISSN (electronic) | 2330-3646 |
Abstract
In urban environments, non-line-of-sight (NLOS) signal conditions are a major error contributor for GNSS positioning, the signal delay can reach up to more than one hundred meters due to reflection in urban canyons such as Hong Kong. Collaborative positioning between traffic participants can help to eliminate common errors, but comprehensive analyses on how to find common errors in cities and how to quantify them are required. In this study, we present a new method for finding locations in urban areas with similar extra path delays on the basis of ray-tracing with 3D building models, exemplarily for an urban canyon in Hong Kong. Using the 2D Pearson correlation coefficient, we calculate the spatial correlation of reflection extra paths at two locations to generate a similarity measure. With this measure, we quantify the amount of similar errors at two locations. In realistic simulations, we show that two locations with highly correlated extra path delays show better results concerning single-difference error correction and relative positioning errors. The single differences show that for the selected area in Hong Kong, the higher the spatial correlation, the higher the amount of common extra path delays. Furthermore, we are able to show that the mean relative positioning error can be reduced from 42.4 m for a low correlation pair of agents to 12.7 m for a high spatial correlation pair.
ASJC Scopus subject areas
- Engineering(all)
- Aerospace Engineering
- Engineering(all)
- Electrical and Electronic Engineering
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Proceedings of the 2022 International Technical Meeting of The Institute of Navigation, ITM 2022. 2022. p. 712-722 (Proceedings of the International Technical Meeting of The Institute of Navigation, ITM; Vol. 2022-January).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Quantification of GNSS NLOS Spatial Correlation
T2 - 2022 International Technical Meeting of The Institute of Navigation, ITM 2022
AU - Icking, Lucy
AU - Zhang, Guohao
AU - Hsu, Li Ta
AU - Schön, Steffen
N1 - Funding Information: This work was supported by the German Research Foundation (DFG) as part of the Research Training Group Integrity and Collaboration in Dynamic Sensor Networks (i.c.sens) [RTG 2159], as well as the Germany/Hong Kong Joint Research Scheme funded by the Research Grant Council (RGC) in Hong Kong and the German Academic Exchange Service (DAAD).
PY - 2022
Y1 - 2022
N2 - In urban environments, non-line-of-sight (NLOS) signal conditions are a major error contributor for GNSS positioning, the signal delay can reach up to more than one hundred meters due to reflection in urban canyons such as Hong Kong. Collaborative positioning between traffic participants can help to eliminate common errors, but comprehensive analyses on how to find common errors in cities and how to quantify them are required. In this study, we present a new method for finding locations in urban areas with similar extra path delays on the basis of ray-tracing with 3D building models, exemplarily for an urban canyon in Hong Kong. Using the 2D Pearson correlation coefficient, we calculate the spatial correlation of reflection extra paths at two locations to generate a similarity measure. With this measure, we quantify the amount of similar errors at two locations. In realistic simulations, we show that two locations with highly correlated extra path delays show better results concerning single-difference error correction and relative positioning errors. The single differences show that for the selected area in Hong Kong, the higher the spatial correlation, the higher the amount of common extra path delays. Furthermore, we are able to show that the mean relative positioning error can be reduced from 42.4 m for a low correlation pair of agents to 12.7 m for a high spatial correlation pair.
AB - In urban environments, non-line-of-sight (NLOS) signal conditions are a major error contributor for GNSS positioning, the signal delay can reach up to more than one hundred meters due to reflection in urban canyons such as Hong Kong. Collaborative positioning between traffic participants can help to eliminate common errors, but comprehensive analyses on how to find common errors in cities and how to quantify them are required. In this study, we present a new method for finding locations in urban areas with similar extra path delays on the basis of ray-tracing with 3D building models, exemplarily for an urban canyon in Hong Kong. Using the 2D Pearson correlation coefficient, we calculate the spatial correlation of reflection extra paths at two locations to generate a similarity measure. With this measure, we quantify the amount of similar errors at two locations. In realistic simulations, we show that two locations with highly correlated extra path delays show better results concerning single-difference error correction and relative positioning errors. The single differences show that for the selected area in Hong Kong, the higher the spatial correlation, the higher the amount of common extra path delays. Furthermore, we are able to show that the mean relative positioning error can be reduced from 42.4 m for a low correlation pair of agents to 12.7 m for a high spatial correlation pair.
UR - http://www.scopus.com/inward/record.url?scp=85135383475&partnerID=8YFLogxK
U2 - 10.33012/2022.18165
DO - 10.33012/2022.18165
M3 - Conference contribution
AN - SCOPUS:85135383475
T3 - Proceedings of the International Technical Meeting of The Institute of Navigation, ITM
SP - 712
EP - 722
BT - Proceedings of the 2022 International Technical Meeting of The Institute of Navigation, ITM 2022
Y2 - 25 January 2022 through 27 January 2022
ER -