Decentralized GNSS at Global Scale via Graph-Aware Diffusion Adaptation

This article describes research on a decentralized Global Navigation Satellite System (GNSS) using graph-aware diffusion adaptation. The focus is on achieving global-scale operation. The use of graph-aware techniques suggests an approach to handle the complexities of a distributed system, potentially improving accuracy and robustness. The mention of diffusion adaptation implies the use of machine learning or signal processing techniques to optimize the system's performance.