Differential Kalman Filter Design for GNSS Open Loop Tracking
Global navigation satellite system (GNSS) positioning in an urban environment is in need for accurate, reliable and robust positioning. Unfortunately, conventional closed-loop tracking fails to meet the demand. The open loop tracking shows improved robustness, however, the precision is unsatisfactor...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2020-03-01
|
| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/12/5/812 |
| _version_ | 1819002500360962048 |
|---|---|
| author | Tian Jin Heliang Yuan Keck-Voon Ling Honglei Qin Jianrong Kang |
| author_facet | Tian Jin Heliang Yuan Keck-Voon Ling Honglei Qin Jianrong Kang |
| author_sort | Tian Jin |
| collection | DOAJ |
| description | Global navigation satellite system (GNSS) positioning in an urban environment is in need for accurate, reliable and robust positioning. Unfortunately, conventional closed-loop tracking fails to meet the demand. The open loop tracking shows improved robustness, however, the precision is unsatisfactory. We propose a differential Kalman filter for open loop, of which the measurement vector contains the differential values of open loop navigation results between adjacent epochs. The differential Kalman filter makes use of the satellite geometry (i.e., spatial domain) and motion relationship (i.e., temporal domain) to filter frequency and code phase estimations of conventional open loop tracking. The improved performances of this architecture have been analyzed theoretically and demonstrated by road tests in an urban environment. The proposed architecture shows more than 50% accuracy improvement than the conventional open-loop tracking architecture. |
| first_indexed | 2024-12-20T23:06:06Z |
| format | Article |
| id | doaj.art-cd69dcb34b794966a8460679a3671f4b |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-12-20T23:06:06Z |
| publishDate | 2020-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-cd69dcb34b794966a8460679a3671f4b2022-12-21T19:23:51ZengMDPI AGRemote Sensing2072-42922020-03-0112581210.3390/rs12050812rs12050812Differential Kalman Filter Design for GNSS Open Loop TrackingTian Jin0Heliang Yuan1Keck-Voon Ling2Honglei Qin3Jianrong Kang4School of Electronic and Information Engineering, Beihang University, 37 Xueyuan Road, Haidian District, Beijing 100191, ChinaSchool of Electronic and Information Engineering, Beihang University, 37 Xueyuan Road, Haidian District, Beijing 100191, ChinaSchool of Electrical and Electronic Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798, SingaporeSchool of Electronic and Information Engineering, Beihang University, 37 Xueyuan Road, Haidian District, Beijing 100191, ChinaShaanxi Key Laboratory of Integrated and Intelligent Navigation, Xi’an 710068, ChinaGlobal navigation satellite system (GNSS) positioning in an urban environment is in need for accurate, reliable and robust positioning. Unfortunately, conventional closed-loop tracking fails to meet the demand. The open loop tracking shows improved robustness, however, the precision is unsatisfactory. We propose a differential Kalman filter for open loop, of which the measurement vector contains the differential values of open loop navigation results between adjacent epochs. The differential Kalman filter makes use of the satellite geometry (i.e., spatial domain) and motion relationship (i.e., temporal domain) to filter frequency and code phase estimations of conventional open loop tracking. The improved performances of this architecture have been analyzed theoretically and demonstrated by road tests in an urban environment. The proposed architecture shows more than 50% accuracy improvement than the conventional open-loop tracking architecture.https://www.mdpi.com/2072-4292/12/5/812gnssopen loopdifferential kalman filter |
| spellingShingle | Tian Jin Heliang Yuan Keck-Voon Ling Honglei Qin Jianrong Kang Differential Kalman Filter Design for GNSS Open Loop Tracking Remote Sensing gnss open loop differential kalman filter |
| title | Differential Kalman Filter Design for GNSS Open Loop Tracking |
| title_full | Differential Kalman Filter Design for GNSS Open Loop Tracking |
| title_fullStr | Differential Kalman Filter Design for GNSS Open Loop Tracking |
| title_full_unstemmed | Differential Kalman Filter Design for GNSS Open Loop Tracking |
| title_short | Differential Kalman Filter Design for GNSS Open Loop Tracking |
| title_sort | differential kalman filter design for gnss open loop tracking |
| topic | gnss open loop differential kalman filter |
| url | https://www.mdpi.com/2072-4292/12/5/812 |
| work_keys_str_mv | AT tianjin differentialkalmanfilterdesignforgnssopenlooptracking AT heliangyuan differentialkalmanfilterdesignforgnssopenlooptracking AT keckvoonling differentialkalmanfilterdesignforgnssopenlooptracking AT hongleiqin differentialkalmanfilterdesignforgnssopenlooptracking AT jianrongkang differentialkalmanfilterdesignforgnssopenlooptracking |