Positioning accuracy improvement in high‐speed GPS receivers using sequential extended Kalman filter
Abstract It is well known that in high‐speed movements, the positioning accuracy of global positioning system (GPS) receivers decreases drastically. The models presented so far to describe high‐speed motion do not represent the state of the system precisely, so positioning accuracy with the methods...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-06-01
|
| Series: | IET Signal Processing |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/sil2.12027 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832558662869057536 |
|---|---|
| author | Narges Rahemi Mohammad Reza Mosavi |
| author_facet | Narges Rahemi Mohammad Reza Mosavi |
| author_sort | Narges Rahemi |
| collection | DOAJ |
| description | Abstract It is well known that in high‐speed movements, the positioning accuracy of global positioning system (GPS) receivers decreases drastically. The models presented so far to describe high‐speed motion do not represent the state of the system precisely, so positioning accuracy with the methods based on these models is not appropriate. Here, a comprehensive method is proposed to solve the accuracy issue of the single‐frequency GPS receiver at high‐speed motions without increasing the computational complexity. Suitable modelling of the GPS receivers at high‐speed motion, using the sequential extended Kalman filter, correct determination of the process noise covariance matrix and accurately estimating the variance of the observations are the basics of the proposed approach. Simulations with different data and motion scenarios (at speeds from 100 to 7300 m/s) show that the proposed method, while not increasing the computational cost, improves the accuracy of positioning more than 70% when compared to the conventional methods. |
| format | Article |
| id | doaj-art-6c44d5d1aab9422aa321f05b98708a2d |
| institution | Kabale University |
| issn | 1751-9675 1751-9683 |
| language | English |
| publishDate | 2021-06-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Signal Processing |
| spelling | doaj-art-6c44d5d1aab9422aa321f05b98708a2d2025-02-03T01:31:55ZengWileyIET Signal Processing1751-96751751-96832021-06-0115425126410.1049/sil2.12027Positioning accuracy improvement in high‐speed GPS receivers using sequential extended Kalman filterNarges Rahemi0Mohammad Reza Mosavi1Department of Electrical Engineering Iran University of Science and Technology Narmak Tehran IranDepartment of Electrical Engineering Iran University of Science and Technology Narmak Tehran IranAbstract It is well known that in high‐speed movements, the positioning accuracy of global positioning system (GPS) receivers decreases drastically. The models presented so far to describe high‐speed motion do not represent the state of the system precisely, so positioning accuracy with the methods based on these models is not appropriate. Here, a comprehensive method is proposed to solve the accuracy issue of the single‐frequency GPS receiver at high‐speed motions without increasing the computational complexity. Suitable modelling of the GPS receivers at high‐speed motion, using the sequential extended Kalman filter, correct determination of the process noise covariance matrix and accurately estimating the variance of the observations are the basics of the proposed approach. Simulations with different data and motion scenarios (at speeds from 100 to 7300 m/s) show that the proposed method, while not increasing the computational cost, improves the accuracy of positioning more than 70% when compared to the conventional methods.https://doi.org/10.1049/sil2.12027covariance matricesGlobal Positioning SystemKalman filtersnonlinear filters |
| spellingShingle | Narges Rahemi Mohammad Reza Mosavi Positioning accuracy improvement in high‐speed GPS receivers using sequential extended Kalman filter IET Signal Processing covariance matrices Global Positioning System Kalman filters nonlinear filters |
| title | Positioning accuracy improvement in high‐speed GPS receivers using sequential extended Kalman filter |
| title_full | Positioning accuracy improvement in high‐speed GPS receivers using sequential extended Kalman filter |
| title_fullStr | Positioning accuracy improvement in high‐speed GPS receivers using sequential extended Kalman filter |
| title_full_unstemmed | Positioning accuracy improvement in high‐speed GPS receivers using sequential extended Kalman filter |
| title_short | Positioning accuracy improvement in high‐speed GPS receivers using sequential extended Kalman filter |
| title_sort | positioning accuracy improvement in high speed gps receivers using sequential extended kalman filter |
| topic | covariance matrices Global Positioning System Kalman filters nonlinear filters |
| url | https://doi.org/10.1049/sil2.12027 |
| work_keys_str_mv | AT nargesrahemi positioningaccuracyimprovementinhighspeedgpsreceiversusingsequentialextendedkalmanfilter AT mohammadrezamosavi positioningaccuracyimprovementinhighspeedgpsreceiversusingsequentialextendedkalmanfilter |