The study of rapid localization algorithm from beam scanning by single satellite based on neural network

“Time for space” was essential to the conventional algorithm of navigation and positioning by single satellite, but it will seriously affect the accuracy of single satellite in fast positioning. Based on the analysis of the principle of traditional single satellite location, in this paper, we briefly analyzed the advantages of single satellite beam scanning positioning based on neural network. Through theoretical analysis and simulation, we prove that the single satellite beam scanning is feasible in the rapid positioning. Finally, we analyzed the main influencing parameters of system accuracy and, as well, the performance of neural network is evaluated.

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