Statistical GNSS geometry
Understanding how satellite directions and visibility shape positioning uncertainty and geometric dilution of precision.
Resilient positioning & navigation
Abdelgabar Ahmed
PhD Researcher · Electrical and Computer Engineering
King Abdullah University of Science and Technology (KAUST)
I study how satellite geometry and measurement reliability shape positioning. My research combines statistical modeling, satellite selection, and array signal processing to make GNSS more resilient in challenging environments.
Research
Three connected directions.
Robust satellite selection
Choosing small satellite subsets by considering geometric diversity and measurement reliability together.
Array signal processing
Using antenna arrays and inertial-aided estimation to assess spatial consistency and detect GNSS multipath.
Selected work
Publications & thesis.
Conference paper
GNSS Array-Based Multipath Detection Employing UKF on Manifolds
IEEE/ION Position, Location and Navigation Symposium (PLANS) · pp. 610–618
Master’s thesis
Robust GNSS Navigation in Urban Environments: Multipath Mitigation and Statistical Geometry Analysis
King Abdullah University of Science and Technology
Contact
Let’s talk research.
I welcome conversations about GNSS, statistical geometry,
and resilient positioning and navigation.
abdelgabar.ahmed@kaust.edu.sa
Information Science Lab · KAUST
Thuwal, Saudi Arabia