PhD in Gnss

Project details: Global Navigation Satellite Systems (GNSS) support a wide range of applications, from smartphone navigation to autonomous vehicles. The global GNSS market is substantial, with billions of consumer devices relying on accurate positioning daily. Improving GNSS accuracy, especially for low-cost, mass-market receivers, therefore has significant economic and societal impact. However, GNSS positioning is highly susceptible to errors from atmospheric distortions, multipath effects, and receiver noise. Recent advances in deep learning have shown that data-driven pseudorange correction can significantly enhance GNSS positioning. The project will focus on investigating constraint-aware pseudorange correction through multi-objective optimisation. The research will explore multiple classes of constraints that will be embedded as objectives.