SS-RAIM-Based Integrity Architecture for CDGNSSs Against Satellite Measurement Faults
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| Veröffentlicht in: | Navigation vol. 72, no. 4 (2025) |
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The Institute of Navigation
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| 001 | 3268150417 | ||
| 003 | UK-CbPIL | ||
| 022 | |a 0028-1522 | ||
| 022 | |a 2161-4296 | ||
| 024 | 7 | |a 10.33012/navi.718 |2 doi | |
| 035 | |a 3268150417 | ||
| 045 | 2 | |b d20250101 |b d20251231 | |
| 084 | |a 233135 |2 nlm | ||
| 100 | 1 | |a Min, Dongchan | |
| 245 | 1 | |a SS-RAIM-Based Integrity Architecture for CDGNSSs Against Satellite Measurement Faults | |
| 260 | |b The Institute of Navigation |c 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a Carrier-phase differential global navigation satellite systems (CDGNSSs) present an attractive option for autonomous vehicles that require accurate and safe navigation. The key to high precision in a CDGNSS is resolving integer ambiguities. However, the discrete nature of ambiguities complicates the analysis of position errors in relation to satellite measurement faults, which poses challenges in protection level (PL) calculation. This paper presents an integrity architecture based on solution separation receiver autonomous integrity monitoring. The test statistic for this monitor is defined in the position domain, directly capturing position errors due to faults. This approach facilitates easier and less conservative evaluations of PLs. This paper provides detailed derivations of PLs and monitor thresholds starting from a common definition of integrity and continuity risk. Additionally, this work presents a method for ensuring that PLs reliably bound actual position errors using a measurement overbounding technique. Simulation results show that the monitor detects most faults and that the PLs bound the position errors from undetected faults. | |
| 653 | |a Position measurement | ||
| 653 | |a Faults | ||
| 653 | |a Fault detection | ||
| 653 | |a Integrity | ||
| 653 | |a Navigational satellites | ||
| 653 | |a Navigation | ||
| 653 | |a Global navigation satellite system | ||
| 653 | |a Position errors | ||
| 653 | |a Ambiguity | ||
| 653 | |a Autonomous vehicles | ||
| 653 | |a Aviation | ||
| 653 | |a Navigation systems | ||
| 653 | |a Bias | ||
| 653 | |a Environmental | ||
| 700 | 1 | |a Kim, Noah Minchan | |
| 700 | 1 | |a Nam, Gihun | |
| 700 | 1 | |a Lee, Jiyun | |
| 700 | 1 | |a Pullen, Sam | |
| 773 | 0 | |t Navigation |g vol. 72, no. 4 (2025) | |
| 786 | 0 | |d ProQuest |t Advanced Technologies & Aerospace Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3268150417/abstract/embedded/L8HZQI7Z43R0LA5T?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3268150417/fulltextPDF/embedded/L8HZQI7Z43R0LA5T?source=fedsrch |