A Star Identification Method Based on Matching Algorithm with Double Main Star Sets in LIS Mode
For the purpose of improving successful identification rate of non-refracted stars in star image with refracted stars,a high ro-bust star identification method for star sensor with large field of view is proposed.Firstly,basic star table is selected to achieve distribu-tion uniformity of guide star catalogue.A group search approach is developed to improve matching speed between angular distance and star pair attribute database.Moreover,star matching algorithm with double main star sets is proposed to improve the robustness of star recognition,which checks two star sets repeatedly through three phases including matching,verification and confirmation.The simulation results indicate that the proposed algorithm shows higher robustness than traditional triangle-pyramid hybrid algorithm under interference condition including positional noise,magnitude noise and false stars.In star image with six refracted stars,the non-refracted star identifi-cation rate of the proposed method is higher than 95.6%,which is 31%higher than the successful rate of traditional algorithm.
star identificationstarlight refractionguide star cataloguestar sensor