Realistic Tropospheric Delay Modeling Based on Machine Learning for Safran’s Skydel-Powered GNSS Simulators
Abstract
Accurate modeling of tropospheric effects on GNSS signals is essential for achieving high-precision positioning, as the troposphere can delay pseudorange signals by up to 30 m in Standard Point Positioning applications.
Fields of Study & Subjects
GNSS positioning and interference
Ionosphere and magnetosphere dynamics
Statistical and numerical algorithms
Publication details
- Journal / source
- European Navigation Conference (ENC)
- Pages
- 34–34
- Publication date
- 4 March 2026
- Language
- EN