The autonomous systems industry is facing growing demand for high‑performance Positioning, Navigation, and Timing (PNT) solutions, with robustness against GNSS vulnerabilities now considered a core performance metric. As a result, resilient PNT has become critical across sectors such as automotive, aviation, agriculture, and maritime. Meanwhile, GNSS services are evolving with next‑generation infrastructures, including G2G, EGNOS Next, and LEO PNT, enabling increasingly diverse applications. In this context, assessing achievable performance throughout the entire system lifecycle has become a key challenge. Digital‑twin‑based simulation offers a powerful solution, enabling early, cost‑effective performance and vulnerability assessment. However, existing GNSS simulators and software receivers struggle to meet real‑time requirements.

This project addresses this gap by developing a digital GNSS receiver based on correlation function abstraction, drastically reducing computational load and enabling real‑time and faster‑than‑real‑time digital‑twin simulation