Optimal Processing of GPS Signals

Abstract

This paper formulates a Kalman estimator as an optimal tracker/navigator for GPS. The approach is motivated by considering the signal and navigation processing performed by a GPS set not as separate functions, but as a single integrated function. The practical realization of this integrated tracker/navigator is discussed, and simulation results are presented which permit comparison of its performance with that of more conventional, partitioned designs.