Advanced Receiver Autonomous Integrity Monitoring for Multi-Constellation GNSS and LEO-Augmented GNSS
| dc.contributor.author | Racelis, Danielle Joan Lim | en |
| dc.contributor.committeechair | Joerger, Mathieu | en |
| dc.contributor.committeemember | Scales, Wayne A. | en |
| dc.contributor.committeemember | Psiaki, Mark L. | en |
| dc.contributor.committeemember | Ross, Shane David | en |
| dc.contributor.department | Aerospace and Ocean Engineering | en |
| dc.date.accessioned | 2025-08-08T08:00:20Z | en |
| dc.date.available | 2025-08-08T08:00:20Z | en |
| dc.date.issued | 2025-08-07 | en |
| dc.description.abstract | Global Navigation Satellite Systems (GNSS), including the U.S. Global Positioning System (GPS), the European Galileo, Russia's GLONASS, and China's BeiDou, have become essential for modern positioning, navigation, and timing (PNT) services, from driving directions to timing in telecommunications. In safety-critical areas such as aviation, it is not enough for these systems to be accurate, they must also be high integrity, the ability of the system to provide timely warnings when positioning errors exceed acceptable limits. Advanced Receiver Autonomous Integrity Monitoring (ARAIM) is a key framework developed to meet these demanding integrity requirements by leveraging multi-constellation, dual-frequency GNSS signals alongside integrity support data. Central to ARAIM's ability to provide navigation guarantees are protection levels, i.e., high confidence bounds on the positioning error, including the horizontal protection level (HPL) and the vertical protection level (VPL). This dissertation advances the state of ARAIM and complementary satellite navigation technologies through two main contributions. First, it introduces two new formulations of the HPL that reduce computational complexity by only requiring a single-step iterative solution, in contrast to the baseline HPL algorithm which sequentially solves for East and North bounds. One formulation offers a more compact expression, while the other provides a tighter bound. Additionally, a generalized chi-square horizontal reference boundary is derived by direct integration of a bivariate Gaussian distribution, serving as a theoretical reference for bounding horizontal positioning error (HPE). Through analytical examples and global availability simulations, these new bounds are shown to maintain equivalent or improved performance compared to the baseline, with strong improvement when the HPE characteristics vary across different fault hypotheses. Second, this work investigates Xona Space Systems' Pulsar, a 258-satellite low Earth orbit (LEO) constellation, as a standalone high-integrity alternative to traditional GNSS. System-level assumptions and time-correlated measurement error models are developed and implemented to enable rigorous integrity analysis. Navigation accuracy, integrity, continuity and availability performance is evaluated using both snapshot and sequential ARAIM algorithms with dual-frequency code and carrier-phase measurements for an example application of aircraft navigation with vertical guidance down to 200 feet above the runway. This analysis highlights Pulsar's potential to complement or serve as a reliable backup to GNSS for integrity-critical applications across the continental United States. | en |
| dc.description.abstractgeneral | Satellites have revolutionized various aspects of modern life. They enable many things from finding directions on your phone to synchronizing financial markets. These are a few of the services that rely on Global Navigation Satellite Systems (GNSS), constellations of satellites operated by governments like the United States (GPS), the European Union (Galileo), Russia (GLONASS), and China (BeiDou), which transmit signals that Earth-surface-based receivers use to calculate their position. In most everyday uses, it is sufficient for these systems to be accurate. However, in safety-critical applications such as commercial aircraft navigation, it is not enough to simply provide accurate information. The system must also be trustworthy. This trustworthiness is known as integrity: the system's ability to provide timely warnings when its estimated position is no longer reliable. In aviation, for example, it is not enough to know where an aircraft is thought to be--pilots and onboard systems must also know when its position estimate becomes dangerously wrong early enough in time to take action. This dissertation develops new methods to improve how satellite-based navigation systems assess and guarantee integrity. The first set of contributions focuses on defining protective boundaries around a user's estimated location. These boundaries, or protection levels, are calculated to ensure that the user's true position lies inside them with extremely high confidence. Two new methods are introduced that compute these protection levels more efficiently than the current baseline approach: one simplifies the computation, while the other gives a tighter and more precise bound. A third method is derived for analysis as a theoretical reference boundary. Through analytical examples and global simulations, these new bounds are shown to maintain equivalent or improved performance compared to the current baseline approach. The second set of contributions investigates a new satellite navigation system called Pulsar, developed by Xona Space Systems. Unlike traditional GNSS, whose satellites orbit about 20,000 kilometers from the Earth's surface, Pulsar's satellites orbit much closer, in low Earth orbit at about 1000 kilometers altitude, and send stronger, more frequently updated, encrypted signals. This dissertation builds models of how Pulsar's signals behave, including how measurement errors change over time. Using these models, we evaluate how well Pulsar could support aircraft navigation during precision landings, down to just 200 feet above the runway. The results show that Pulsar has the potential to serve as an independent backup to current GNSS systems, enabling high-integrity navigation across the continental United States. | en |
| dc.description.degree | Doctor of Philosophy | en |
| dc.format.medium | ETD | en |
| dc.identifier.other | vt_gsexam:44404 | en |
| dc.identifier.uri | https://hdl.handle.net/10919/137104 | en |
| dc.language.iso | en | en |
| dc.publisher | Virginia Tech | en |
| dc.rights | Creative Commons Attribution 4.0 International | en |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | en |
| dc.subject | ARAIM | en |
| dc.subject | horizontal protection level (HPL) | en |
| dc.subject | LEO Xona Pulsar GNSS integrity | en |
| dc.title | Advanced Receiver Autonomous Integrity Monitoring for Multi-Constellation GNSS and LEO-Augmented GNSS | en |
| dc.type | Dissertation | en |
| thesis.degree.discipline | Aerospace Engineering | en |
| thesis.degree.grantor | Virginia Polytechnic Institute and State University | en |
| thesis.degree.level | doctoral | en |
| thesis.degree.name | Doctor of Philosophy | en |
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