New Information-Preserving Methods Improve GNSS Noise Analysis with Missing Data

A recent study introduces two maximum likelihood methods designed to enhance the analysis of Global Navigation Satellite System (GNSS) coordinate time series. These methods are particularly effective when dealing with non-stationary colored noise and missing observations, resulting in more accurate estimates of noise parameters and velocity uncertainty.