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Pico-satellite attitude determination using a star tracker with compressive sensing

This paper presents a novel frame of star tracker for Pico-Satellite with Compressive Sensing (CS), which replaces the sample part of star tracker by CS reconstruction. An effective centroid algorithm based on CS-reconstructed star image is proposed and increases the accuracy by almost one order of magnitude. Finally the simulation validates the feasibility of this CS based star tracker attitude determination algorithm.