Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Faculty of Construction and Environment | en_US |
| dc.contributor.advisor | Chen, Wu (LSGI) | - |
| dc.creator | Li, Yuetong | - |
| dc.identifier.uri | https://theses.lib.polyu.edu.hk/handle/200/8328 | - |
| dc.language | English | en_US |
| dc.publisher | Hong Kong Polytechnic University | - |
| dc.rights | All rights reserved | en_US |
| dc.title | A new RAIM algorithm with the ability to detect multiple-satellite faults | en_US |
| dcterms.abstract | The integrity is directly related to safety in aviation, thus, it is vital to provide a reliable integrity monitoring. In comparison to the system-level integrity monitoring,the receiver‐level integrity monitoring, RAIM (Receiver Autonomous Integrity Monitoring), exhibits some significant advantages. Even though, the Classical RAIM method has been fully developed, its limitations and constraints are still not negligible. Therefore, at first, this dissertation challenges the Classical RAIM assumption of all satellites with equal weights. Then, it places emphasis on the multiple‐satellite faults constraint and the unreasonable definition of false alarm and missed detection in Classical RAIM method. In order to solve these limitations and constraints, the Classical RAIM need to be modified. Hence, in this dissertation, the revised algorithms, that is, Weighted RAIM, Measurement‐domain RAIM (MRAIM) are proposed for the improvement of integrity monitoring solution. Finally, the comparison tests to demonstrate the efficiency these algorithms are performed by applying them to the static data set from IGS reference station. | en_US |
| dcterms.extent | 99 pages : color illustrations | en_US |
| dcterms.isPartOf | PolyU Electronic Theses | en_US |
| dcterms.issued | 2015 | en_US |
| dcterms.educationalLevel | All Master | en_US |
| dcterms.educationalLevel | M.Sc. | en_US |
| dcterms.LCSH | Global positioning system. | en_US |
| dcterms.LCSH | Artificial satellites in 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 | |
|---|---|---|---|---|
| b28315352.pdf | For All Users (off-campus access for PolyU Staff & Students only) | 3.4 MB | Adobe PDF | View/Open |
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