GNSS localization

GNSS Localization and Attitude Determination via Optimization Techniques on Riemannian Manifolds

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B1 L3 R3119

This thesis focuses on Global Navigation Satellite Systems (GNSS)-based localization and attitude determination, essential for navigation and control systems in various platforms. Carrier-phase observations from GNSS signals are more accurate than pseudo-range, but resolving integer ambiguities in carrier-phase data is challenging. The thesis proposes three attitude determination methods based on an optimized GNSS attitude model with nonlinear constraints. Additionally, a joint solution for real-time kinematic positioning and attitude determination is proposed, leveraging the correlation between GNSS data in these two problems. Riemannian optimization is applied to improve the accuracy and ambiguity resolution in both localization and attitude determination.

ISL Team Nominated for IEEE Walter R. Fried Memorial Award

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This year, the ISL team attended the 2020 IEEE/ION Position, Location and Navigation Symposium. A team of Professor Tareq Al-Naffouri, Xing Lui and Tarig Ballal co-authored the Conference Publication titled GNSS Attitude Determination Using a Constrained Wrapped Least Squares Approach. The publication focused on GNSS Attitude Determination. The publication's excellence was recognized as it was shortlisted for the Walter R. Fried Memorial Award. While the publication did not ultimately win the award, the superior technical quality of the work was recognized.

Xing Liu

Postdoctoral Research Fellow, Electrical and Computer Engineering
Postdoctoral researcher in Electrical and Computer Engineering at King Abdullah University of Science and Technology (KAUST)