Far-source position determination with metrics and dynamic tracking

Abstract

A method of dynamic position determination using a Kalman Filter to estimate a position of a moving aided node, including assigning a predicted value to each of twelve state variables for the aided node, weighting the accuracy of each prediction, determining a measurement for each state variable using a far source navigation algorithm, and then updating each state variable value using the measurement. A method for dynamic position determination that includes locating a moving aided node and one or multiple aiding nodes within a region of interest, and identifying one or multiple visible far sources. The aiding nodes and visible far sources are down selected using a set of metrics for evaluating the suitability of the aiding nodes and far sources, or pairs thereof, for use in developing a position of the aided node using a far source navigation algorithm.

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