LEOS-SOP/INS Integrated Differential Positioning Based on Nonparallel Line-of-Sight Vectors and Orbit Errors Correction

In a Global Navigation Satellite System (GNSS)-denied environment, positioning using low Earth orbit satellite signals of opportunity (LEOS-SOP) offers an effective backup to GNSS. However, the currently available LEO constellations are limited, leading to insufficient visibility. To achieve dynamic positioning, assistance from inertial navigation systems (INSs) is necessary. Since LEO satellites (LEOSs) are not designed for navigation, they exhibit significant orbit and signal emission time errors. To achieve high-precision dynamic positioning, LEOS-SOP/INS integrated differential positioning is required to mitigate the impact of these error sources. However, current research on LEOS/INS integrated differential dynamic positioning has not accounted for the effects of orbit errors or nonparallel line-of-sight vectors, which limits positioning performance. To enhance positioning accuracy, this article proposes a LEOS-SOP/INS integrated differential positioning method based on nonparallel line-of-sight vectors and orbit error correction. This method fully considers the effects of nonparallel line-of-sight vectors due to the low altitude of LEOS and orbit errors, significantly improving differential positioning accuracy. In addition, the relationship between nonparallel line-of-sight vectors and orbit errors with interstation Doppler residuals is analyzed, providing a theoretical basis for evaluating the performance of LEOS-SOP/INS integrated differential positioning. Finally, the effectiveness of the proposed model is validated through vehicular experiments using actual signals from the mature Iridium constellation.

Authors

Institutions

Publication Details

Journal
IEEE Sensors Journal
Published
2024-11-25
DOI
https://doi.org/10.1109/jsen.2024.3501370
Citations
3
Primary Topic
Inertial Sensor and Navigation
Type
article
Field-Weighted Citation Impact
3.90
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

LEOS-SOP/INS Integrated Differential Positioning Based on Nonparallel Line-of-Sight Vectors and Orbit Errors Correction

Yansong Du, J. C. Li, Honglei Qin, Zhenbo Xu et al.
3 citations
IEEE Sensors Journal
Inertial Sensor and Navigation
3.90
article

LEOS-SOP/INS Integrated Differential Positioning Based on Nonparallel Line-of-Sight Vectors and Orbit Errors Correction

Yansong Du, J. C. Li, Honglei Qin, Zhenbo Xu, Yu Su
article en
3 citations

Abstract

In a Global Navigation Satellite System (GNSS)-denied environment, positioning using low Earth orbit satellite signals of opportunity (LEOS-SOP) offers an effective backup to GNSS. However, the currently available LEO constellations are limited, leading to insufficient visibility. To achieve dynamic positioning, assistance from inertial navigation systems (INSs) is necessary. Since LEO satellites (LEOSs) are not designed for navigation, they exhibit significant orbit and signal emission time errors. To achieve high-precision dynamic positioning, LEOS-SOP/INS integrated differential positioning is required to mitigate the impact of these error sources. However, current research on LEOS/INS integrated differential dynamic positioning has not accounted for the effects of orbit errors or nonparallel line-of-sight vectors, which limits positioning performance. To enhance positioning accuracy, this article proposes a LEOS-SOP/INS integrated differential positioning method based on nonparallel line-of-sight vectors and orbit error correction. This method fully considers the effects of nonparallel line-of-sight vectors due to the low altitude of LEOS and orbit errors, significantly improving differential positioning accuracy. In addition, the relationship between nonparallel line-of-sight vectors and orbit errors with interstation Doppler residuals is analyzed, providing a theoretical basis for evaluating the performance of LEOS-SOP/INS integrated differential positioning. Finally, the effectiveness of the proposed model is validated through vehicular experiments using actual signals from the mature Iridium constellation.

IEEE Sensors JournalVol. 25(1)
Beihang University (CN)
Openalex Percentile: Top 6%
Inertial Sensor and Navigation
3.90
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.