Sparse coding cuts data burden for high-precision GNSS
A new compression framework could make high-precision GNSS atmospheric corrections easier to store, transmit, and use where ground networks are unavailable. The study introduces a training-free sparse representation method that reduces the data burden of global tropospheric grid models while preserving…