Data Assimilation, Analysis and Fusion across Modalities and Varying Latencies: Earth Orientation Parameters’ Estimation and Prediction
Dr. Mark Psiaki
The work will involve the development and implementation of advanced Kalman filtering and other data fusion techniques. The USNO’s Earth Orientation Department Parameter Combination and Prediction Division uses data gathered from a variety of internal and external sources, among them the International GPS Service (IGS), Very Long Baseline Interferometry (VLBI), Satellite Laser Ranging (SLR), and Atmospheric Angular Momentum (AAM). The project’s goal is to update and improve legacy algorithms by incorporating advanced estimation techniques. Another thrust will be to improve the generation and use of an in-house USNO data product called UTGPS. UTGPS provides a UT1-like estimate based on GPS orbit modeling and orbit right-ascension prediction errors. The project will produce an updated system that accurately generates Earth Orientation Parameters that will be published on a regular basis as a service to the international astrodynamics and geodetic communities.