Use of incomplete GPS data for navigation

Abstract

An approach to the vector of states estimation for systems where the measurement operator is not of full rank is proposed. The approach is an alternative to traditional Kalman filtering. A distinctive feature is that it needs less a priori statistical information and leads to wider spectrum of possible estimators. A central idea, which stems from the regularization theory, is to use a stabilizing functional to provide a unique solution.<>