LEO-GAPM: a novel geometry and probability model for analyzing GNSS monitoring performance of LEO constellations.
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| Title: | LEO-GAPM: a novel geometry and probability model for analyzing GNSS monitoring performance of LEO constellations. |
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| Authors: | Pan, Lin1,2, Du, Lan1, dulan2015@qq.com, Zhang, Lundong1, Li, Chonghui1,2, Zhou, Peiyuan1, Zhang, Zhongkai1, Liu, Zejun1, Chen, Chen1 |
| Source: | Measurement Science & Technology; 2026, Vol. 37 Issue 13, p1-22, 22p |
| Database: | Applied Science & Technology Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 194181468 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=194181468 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1088/1361-6501/ae54bf Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 22 StartPage: 1 Titles: – TitleFull: LEO-GAPM: a novel geometry and probability model for analyzing GNSS monitoring performance of LEO constellations. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Pan, Lin – PersonEntity: Name: NameFull: Du, Lan – PersonEntity: Name: NameFull: Zhang, Lundong – PersonEntity: Name: NameFull: Li, Chonghui – PersonEntity: Name: NameFull: Zhou, Peiyuan – PersonEntity: Name: NameFull: Zhang, Zhongkai – PersonEntity: Name: NameFull: Liu, Zejun – PersonEntity: Name: NameFull: Chen, Chen IsPartOfRelationships: – BibEntity: Dates: – D: 28 M: 03 Text: 2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 09570233 Numbering: – Type: volume Value: 37 – Type: issue Value: 13 Titles: – TitleFull: Measurement Science & Technology Type: main |
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