Journals: Maximum Likelihood Estimation of Position in GNSS
P. Closas Gómez, C. Fernandez Prades and J. Fernández Rubio

Abstract

In this letter, we obtain the Maximum Likelihood Estimator of position in the framework of Global Navigation Satellite Systems. This theoretical result is the basis of a completely different approach to the positioning problem, in contrast to the conventional two-steps position estimation, consisting of estimating the synchronization parameters of the in-view satellites and then performing a position estimation with that information. To the authors

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