An Observation Density Based Method for Independent Baseline Searching in GNSS Network Solution
With applications such as precise geodetic product generation and reference frame maintenance, the global GNSS network solution is a fundamental problem that has constantly been a focus of concern. Independent baseline search is a prerequisite step of the double-differenced (DD) GNSS network. In thi...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-09-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/14/19/4717 |
| _version_ | 1797477220001775616 |
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| author | Tong Liu Yujun Du Wenfeng Nie Jian Liu Yongchao Ma Guochang Xu |
| author_facet | Tong Liu Yujun Du Wenfeng Nie Jian Liu Yongchao Ma Guochang Xu |
| author_sort | Tong Liu |
| collection | DOAJ |
| description | With applications such as precise geodetic product generation and reference frame maintenance, the global GNSS network solution is a fundamental problem that has constantly been a focus of concern. Independent baseline search is a prerequisite step of the double-differenced (DD) GNSS network. In this process, only empirical methods are usually used, i.e., the observation-max (OBS-MAX), which allows for obtaining more redundant DD observations, and the shortest-path (SHORTEST), which helps to better eliminate tropospheric and ionospheric errors between stations. Given the possible limitations that neither of the methods can always guarantee baselines of the highest accuracy to be selected, a strategy based on the ‘density’ of common satellites (OBS-DEN) is proposed. It takes the number of co-viewing satellites per unit distance between stations as the criterion. This method ensures that the independent baseline network has both sufficient observations and short baselines. With single-day solutions and annual statistics computed with parallel processing, the method demonstrates that it has the ability to obtain comparable or even higher positioning accuracy than the conventional methods. With a clearer meaning, OBS-DEN can be an option alongside the previous methods in the independent baseline search. |
| first_indexed | 2024-03-09T21:15:30Z |
| format | Article |
| id | doaj.art-fb3938b79dbf4f9890154883c18538f6 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-09T21:15:30Z |
| publishDate | 2022-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-fb3938b79dbf4f9890154883c18538f62023-11-23T21:37:36ZengMDPI AGRemote Sensing2072-42922022-09-011419471710.3390/rs14194717An Observation Density Based Method for Independent Baseline Searching in GNSS Network SolutionTong Liu0Yujun Du1Wenfeng Nie2Jian Liu3Yongchao Ma4Guochang Xu5Laboratory of Navigation and Remote Sensing, Institute of Space Science and Applied Technology (ISSAT), Harbin Institute of Technology, Shenzhen 518055, ChinaThe Industrial Sciences Group, Sydney, NSW 2060, AustraliaInstitute of Space Sciences, Shandong University, Weihai 264209, ChinaLaboratory of Navigation and Remote Sensing, Institute of Space Science and Applied Technology (ISSAT), Harbin Institute of Technology, Shenzhen 518055, ChinaLaboratory of Navigation and Remote Sensing, Institute of Space Science and Applied Technology (ISSAT), Harbin Institute of Technology, Shenzhen 518055, ChinaLaboratory of Navigation and Remote Sensing, Institute of Space Science and Applied Technology (ISSAT), Harbin Institute of Technology, Shenzhen 518055, ChinaWith applications such as precise geodetic product generation and reference frame maintenance, the global GNSS network solution is a fundamental problem that has constantly been a focus of concern. Independent baseline search is a prerequisite step of the double-differenced (DD) GNSS network. In this process, only empirical methods are usually used, i.e., the observation-max (OBS-MAX), which allows for obtaining more redundant DD observations, and the shortest-path (SHORTEST), which helps to better eliminate tropospheric and ionospheric errors between stations. Given the possible limitations that neither of the methods can always guarantee baselines of the highest accuracy to be selected, a strategy based on the ‘density’ of common satellites (OBS-DEN) is proposed. It takes the number of co-viewing satellites per unit distance between stations as the criterion. This method ensures that the independent baseline network has both sufficient observations and short baselines. With single-day solutions and annual statistics computed with parallel processing, the method demonstrates that it has the ability to obtain comparable or even higher positioning accuracy than the conventional methods. With a clearer meaning, OBS-DEN can be an option alongside the previous methods in the independent baseline search.https://www.mdpi.com/2072-4292/14/19/4717GNSSindependent baselineGNSS network solutionobservation-maxshortestobservation density |
| spellingShingle | Tong Liu Yujun Du Wenfeng Nie Jian Liu Yongchao Ma Guochang Xu An Observation Density Based Method for Independent Baseline Searching in GNSS Network Solution Remote Sensing GNSS independent baseline GNSS network solution observation-max shortest observation density |
| title | An Observation Density Based Method for Independent Baseline Searching in GNSS Network Solution |
| title_full | An Observation Density Based Method for Independent Baseline Searching in GNSS Network Solution |
| title_fullStr | An Observation Density Based Method for Independent Baseline Searching in GNSS Network Solution |
| title_full_unstemmed | An Observation Density Based Method for Independent Baseline Searching in GNSS Network Solution |
| title_short | An Observation Density Based Method for Independent Baseline Searching in GNSS Network Solution |
| title_sort | observation density based method for independent baseline searching in gnss network solution |
| topic | GNSS independent baseline GNSS network solution observation-max shortest observation density |
| url | https://www.mdpi.com/2072-4292/14/19/4717 |
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