Title :
Pico-satellite attitude determination using a star tracker with compressive sensing
Author :
Jianan, Yang ; Yong, Liu ; Fei, Han ; Qian, Feng ; Quan, Pan
Author_Institution :
Northwestern Polytechnical University, Xi´an 710072, China
Abstract :
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.
Keywords :
Accuracy; Algorithm design and analysis; Compressed sensing; Image reconstruction; Noise measurement; Position measurement; Signal processing algorithms; Pico-Satellite; attitude determination; compressive sensing; star tracker;
Conference_Titel :
Control Conference (CCC), 2015 34th Chinese
Conference_Location :
Hangzhou, China
DOI :
10.1109/ChiCC.2015.7260472