aiqbench analysis

This research advances GNSS positioning theory by extending success-rate bounds to handle heavy-tailed error distributions common in real-world environments like urban canyons or during ionospheric scintillation. The mathematical framework allows practitioners to maintain existing estimation algorithms while achieving more robust probabilistic guarantees against rare but significant outliers. This development directly addresses the reliability challenges of high-precision navigation systems, which increasingly rely on AI-driven signal processing and error modeling.