Research on the eLoran/GNSS Combined Positioning Algorithm and Altitude Optimization

With the widespread use of the Global Navigation Satellite System (GNSS), its signal vulnerabilities and security issues have become increasingly exposed. Enhanced Long-Range Navigation (eLoran), as a backup system for the GNSS, has gradually attracted widespread attention. This paper investigates and optimizes the eLoran/GNSS combined positioning algorithm. The main research contributions are as follows: (a) Correcting the incorrect application of spatial coordinate transformation relations in the existing literature and re-deriving the eLoran/GNSS combined positioning algorithm based on the Andoyer–Lambert formula. (b) Correcting the eLoran pseudorange positioning equation for altitude in the combined positioning algorithm, compensating for the lack of altitude parameters in eLoran to improve positioning accuracy. (c) Verifying the correctness of the algorithm through simulation analysis, exploring the impact of errors on the algorithm, and evaluating whether the correction of altitude contributes to improving positioning accuracy. (d) Verifying the simulation results through actual measurement analysis.

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Publication Details

Journal
Remote Sensing
Published
2025-02-12
DOI
https://doi.org/10.3390/rs17040633
Citations
2
Primary Topic
Inertial Sensor and Navigation
Type
article
Field-Weighted Citation Impact
9.99
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article

Research on the eLoran/GNSS Combined Positioning Algorithm and Altitude Optimization

Xiang Jiang, Shifeng Li, Baorong Yan, Man Yang et al.
2 citations
Remote Sensing
Inertial Sensor and Navigation
9.99
article

Research on the eLoran/GNSS Combined Positioning Algorithm and Altitude Optimization

Xiang Jiang, Shifeng Li, Baorong Yan, Man Yang, Chaozhong Yang
article en
2 citations

Abstract

With the widespread use of the Global Navigation Satellite System (GNSS), its signal vulnerabilities and security issues have become increasingly exposed. Enhanced Long-Range Navigation (eLoran), as a backup system for the GNSS, has gradually attracted widespread attention. This paper investigates and optimizes the eLoran/GNSS combined positioning algorithm. The main research contributions are as follows: (a) Correcting the incorrect application of spatial coordinate transformation relations in the existing literature and re-deriving the eLoran/GNSS combined positioning algorithm based on the Andoyer–Lambert formula. (b) Correcting the eLoran pseudorange positioning equation for altitude in the combined positioning algorithm, compensating for the lack of altitude parameters in eLoran to improve positioning accuracy. (c) Verifying the correctness of the algorithm through simulation analysis, exploring the impact of errors on the algorithm, and evaluating whether the correction of altitude contributes to improving positioning accuracy. (d) Verifying the simulation results through actual measurement analysis.

Remote SensingVol. 17(4)
Chinese Academy of Sciences (CN), National Time Service Center (CN), University of Chinese Academy of Sciences (CN)
Openalex Percentile: Top 3%
Inertial Sensor and Navigation
9.99
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Research on the eLoran/GNSS Combined Positioning Algorithm and Altitude Optimization — Xiang Jiang, Shifeng Li, et al. · Remote Sensing (2025) | TGRS Research Map | TGRS