Physics Driven Digital Twin Model for Evaluation of GNSS User Receiver Equipment
For GNSS receiver developers and researchers, this provides a physically consistent and repeatable simulation platform for evaluating receiver performance under realistic dynamics, though it is an incremental improvement over existing simulation methods.
The paper introduces a physics-consistent digital twin framework for end-to-end GNSS receiver evaluation, which enforces dynamic consistency between satellite ephemerides, user motion, and received signal observables. Validation across static, moderate-motion, and high-dynamics scenarios shows close agreement between truth-model and receiver-estimated parameters, establishing the framework as a high-fidelity platform for receiver testing.
This paper presents a physics-consistent digital twin framework for end-to-end modeling and evaluation of Global Navigation Satellite Systems (GNSS) user receiver equipment. In contrast to conventional GNSS simulations that rely on predefined signal models, the proposed framework enforces dynamic consistency between satellite ephemerides, user motion, and received signal observables through trajectory-driven injection of code-phase and Doppler dynamics. The GPS L1 C/A signal is synthesized in accordance with the IS-GPS-200 Rev. N specification, with motion-induced effects derived directly from orbital and user kinematics, and augmented by ionospheric and tropospheric delay models. The resulting complex baseband signal is converted to radio frequency using a software-defined radio platform disciplined by an external reference clock, enabling seamless hardware-in-the-loop integration with commercial and software receivers. Validation across static, moderate-motion, and high-dynamics scenarios, including projectile-like trajectories, demonstrates close agreement between truth-model and receiver-estimated code phase, Doppler, and position, as well as strong correspondence between simulated and measured intermediate frequency spectra. The results establish the proposed digital twin as a high-fidelity, repeatable, and physically consistent platform for GNSS receiver evaluation, tracking-loop stress testing, and development of robust navigation algorithms.