Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/96287
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Land Surveying and Geo-Informatics | - |
dc.creator | Tian, Y | en_US |
dc.creator | Liu, Z | en_US |
dc.creator | Ge, M | en_US |
dc.creator | Neitzel, F | en_US |
dc.date.accessioned | 2022-11-16T03:45:02Z | - |
dc.date.available | 2022-11-16T03:45:02Z | - |
dc.identifier.issn | 0949-7714 | en_US |
dc.identifier.uri | http://hdl.handle.net/10397/96287 | - |
dc.language.iso | en | en_US |
dc.publisher | Springer | en_US |
dc.rights | © Springer-Verlag GmbH Germany, part of Springer Nature 2019 | - |
dc.rights | This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use (https://www.springernature.com/gp/open-research/policies/accepted-manuscript-terms), but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. | - |
dc.subject | Multi-dimensional particle filter approach | - |
dc.subject | Multi-GNSS integration | - |
dc.subject | Ambiguity resolution | - |
dc.subject | Inter-system bias estimation | - |
dc.title | Multi-dimensional particle filter-based estimation of inter-system phase biases for multi-GNSS real-time integer ambiguity resolution | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.spage | 1073 | en_US |
dc.identifier.epage | 1087 | en_US |
dc.identifier.volume | 93 | en_US |
dc.identifier.issue | 7 | en_US |
dc.identifier.doi | 10.1007/s00190-018-01226-6 | en_US |
dcterms.abstract | In multi-GNSS integration, fixing inter-system double-difference ambiguities to integers is still a challenge due to the existence of inter-system biases (ISB) when mixed types of GNSS receivers are used. It has been shown that when ISB is known, the inter-system ambiguities can be fixed and the reliability of ambiguity fixing can be improved significantly, especially under poor conditions when the number of observed satellites is small. In traditional methods, the intra-system ambiguity is fixed first; then, the ISB is estimated to ultimately fix the inter-system ambiguity. In our work, we use the particle filter-based method to estimate the ISB parameter and fix the inter-system ambiguities to integers at the same time. This method shows higher reliability and higher ambiguity fixing rate. Nevertheless, the existing particle filter approach for ISB parameter estimation is a one-dimensional algorithm. When satellites from three or more systems are observed, there are two or more ISB parameters. We extend the current one-dimensional particle filter approach to multi-dimensional case and estimate multi-ISB parameters in this study. We first present a multi-dimensional particle filter approach that can estimate multi-ISB parameters simultaneously. We also show that the RATIO values can be employed to judge the quality of multi-dimensional ISB values. Afterward, a two-dimensional particle filter approach is taken as an example to validate this approach. For example, in the experiment of GPS L5, Galileo E5a and QZSS L5 integration with 6 satellites using the IGS baseline SIN0-SIN1, only three ambiguities are resolved to integer when the ISBs are unknown. The integer ambiguity fixing rate is 41.0% with 53% of the ambiguity-fixed solutions having positioning errors larger than 3 cm. However, when our approach is adopted, the number of integer ambiguity parameters increases to five. The integer ambiguity fixing rate increases to 99.7% with 100% of ambiguity-fixed solutions having positioning errors smaller than 3 cm. | - |
dcterms.accessRights | open access | - |
dcterms.bibliographicCitation | Journal of geodesy, 1 July 2019, v. 93, no. 7, p. 1073-1087 | en_US |
dcterms.isPartOf | Journal of geodesy | en_US |
dcterms.issued | 2019-07-01 | - |
dc.identifier.isi | WOS:000471276400010 | - |
dc.identifier.scopus | 2-s2.0-85061028846 | - |
dc.identifier.eissn | 1432-1394 | en_US |
dc.description.validate | 202211 bckw | - |
dc.description.oa | Accepted Manuscript | - |
dc.identifier.FolderNumber | LSGI-0230 | - |
dc.description.fundingSource | RGC | - |
dc.description.fundingSource | Others | - |
dc.description.fundingText | Hong Kong Polytechnic University; Key Program of the National Natural Science Foundation of China; Fundamental Research Funds for the Central Universities | - |
dc.description.pubStatus | Published | - |
dc.identifier.OPUS | 29139288 | - |
dc.description.oaCategory | Green (AAM) | en_US |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Liu_Multi-dimensional_Particle_Filter-based.pdf | Pre-Published version | 2.72 MB | Adobe PDF | View/Open |
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