Abstract | ||
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We develop a method to reconstruct the rotation motion of a satellite from Sun sensor measurements. Mathematically, the estimation objective is formulated as the problem of phase reconstruction for a 2-dimensional periodic function. A computationally straightforward solution is proposed. Theoretical developments allow to assess the robustness to model imperfections, sampling and noise. Simulation results illustrate practically obtainable performance.. |
Year | Venue | Keywords |
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2013 | Control Conference | sun,artificial satellites,attitude measurement,photoelectric cells,2-dimensional periodic function,sun sensor measurements,estimation objective,phase reconstruction,rotation estimation,rotation motion,satellite,estimation,noise,satellites,vectors,sensors,noise measurement |
Field | DocType | Citations |
Sun sensor,Periodic function,Satellite,Phase reconstruction,Remote sensing,Robustness (computer science),Sampling (statistics),Cross-validation,Physics | Conference | 0 |
PageRank | References | Authors |
0.34 | 0 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Magnis, L. | 1 | 0 | 0.34 |
Petit, N. | 2 | 14 | 3.56 |