Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Department of Mechanical Engineering | en_US |
| dc.contributor.advisor | Jiang, Yi Ping (AAE) | en_US |
| dc.creator | Jia, Kaiwei | - |
| dc.identifier.uri | https://theses.lib.polyu.edu.hk/handle/200/12990 | - |
| dc.language | English | en_US |
| dc.publisher | Hong Kong Polytechnic University | en_US |
| dc.rights | All rights reserved | en_US |
| dc.title | Integrity monitoring for RTK integer ambiguity resolution | en_US |
| dcterms.abstract | This paper explores the extension of current integrity monitoring methods for road navigation, specifically Real-time Kinematic Positioning (RTK). The paper examines a key issue for extending current integrity monitoring methods for RTK: guaranteeing a high successful rate of fixing ambiguity resolution. The paper proposes a real-time critical value algorithm based on failure rate and variance matrix to help find the right choice of critical value in RTK applications. Additionally, a partial ambiguity fixing (PAF) model based on the LAMBDA algorithm is used to improve success rates by resolving partial ambiguities in the presence of multipath or unaccounted-for atmospheric delays. Results demonstrate that the added PAF algorithm can maintain a higher success rate in resolving ambiguities while reducing the computation burden. | en_US |
| dcterms.extent | viii, 72 pages : color illustrations | en_US |
| dcterms.isPartOf | PolyU Electronic Theses | en_US |
| dcterms.issued | 2023 | en_US |
| dcterms.educationalLevel | M.Sc. | en_US |
| dcterms.educationalLevel | All Master | en_US |
| dcterms.LCSH | Global Positioning System | en_US |
| dcterms.LCSH | Intelligent transportation systems | en_US |
| dcterms.LCSH | Navigation | en_US |
| dcterms.LCSH | Hong Kong Polytechnic University -- Dissertations | en_US |
| dcterms.accessRights | restricted access | en_US |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 7470.pdf | For All Users (off-campus access for PolyU Staff & Students only) | 5.56 MB | Adobe PDF | View/Open |
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