Determining global navigation satellite system measurement weights

Abstract

A system and a method are disclosed for determining global navigation satellite system (GNSS) measurement weighting. Determining the GNSS measurement weighting includes determining, using a processor in a GNSS receiver, at least one of a pseudorange or a pseudorange rate and minimizing, by training a machine learning (ML) model, a prediction error of the at least one of the pseudorange or the pseudorange rate. Determining the GNSS measurement weighting also includes determining, with the ML model, solver weights for a GNSS solver based on the minimization of the prediction error and providing, with the processor, the solver weights to the GNSS solver to predict at least one of a position or a velocity of the GNSS receiver. The prediction error is based on a difference between a predicted measurement error and a true measurement error of the pseudorange and the pseudorange rate.

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