A star identification algorithm based on radial and dynamic cyclic features of star pattern
| Autor: | Desheng Wen, Xin Wei, Zhixin Li, Weikang Zhang, Jiangbo Xi, Zongxi Song, Gang Liu |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Atmospheric Science
010504 meteorology & atmospheric sciences Aerospace Engineering Magnitude (mathematics) A* search algorithm Astrophysics::Cosmology and Extragalactic Astrophysics Star position Star (graph theory) 01 natural sciences Star tracker law.invention law 0103 physical sciences Astrophysics::Solar and Stellar Astrophysics Pattern matching 010303 astronomy & astrophysics Astrophysics::Galaxy Astrophysics 0105 earth and related environmental sciences Mathematics Astronomy and Astrophysics Noise Stars Geophysics Space and Planetary Science General Earth and Planetary Sciences Astrophysics::Earth and Planetary Astrophysics Algorithm |
| Zdroj: | Advances in Space Research. 63:2245-2259 |
| ISSN: | 0273-1177 |
| Popis: | A full-sky star identification algorithm based on radial and dynamic cyclic patterns is presented with the aim of solving the “lost-in-space” problem. The dynamic cyclic pattern match is applied with a maximum cumulate comparison method to identify sensor-catalog pairings in initial match, which substantially eliminates the effects of the star position noise, magnitude noise, and false stars. After initial match pairings of stars are obtained, a chain part extension technique is employed to quickly search for the longest match chain as the final result. Experimental results indicate that the proposed algorithm is highly robust to star position noise, magnitude noise and false stars. In a series of simulations, the identification rate of the algorithm is 97.50% with 2.0 pixels star position noise, 96.90% with 0.4 Mv star magnitude noise and 95.30% with four false stars respectively. Moreover, the algorithm achieves an identification rate of 58.08% when only six stars are in the field of view. |
| Databáze: | OpenAIRE |
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