Optimal Measurement Projections with Adaptive Mixture Kalman Filtering for GNSS Positioning
Accurate carrier-phase integer ambiguity resolu-tion is fundamental for high precision global navigation satellitesystems (GNSSs). In this paper we extend a recently proposedmixture Kalman filter solution to integer ambiguity resolution.We utilize the Fisher information matrix to project the acquiredmeasurements into a lower-dimensional subspace, formulatingan optimization program to find the proj
