Bayesian approach to satellite selection

In this paper, Bayes' theorem is used in selection of global positioning system (GPS) satellites. By selecting the most reliable satellites among all visible satellites, system performance can be improved by fusing together information from multiple sources. This requires reliable modeling of the satellites by means of probabilities and probability distributions. Reliable satellite modeling requires a comprehensive set of parameters that gives the best possible satellite state representation. A measure of satellite appropriateness can then be calculated by applying Bayesian probabilistic reasoning to a parameter combination. Performance of the suggested method is verified by simulations.