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Nowadays, star pattern recognition methods used on star sensors have shortcomings of redundancy match, matching slow, low recognition rate, and so on. To overcome this, the star pattern recognition algorithm was studied, and a new algorithm was proposed. Firstly, redundancy information from traditional star catalog was extracted. The sky coverage was divided to make sure that different sky coverage has the similar navstar number. Secondly， feature information 干rom the photo was extracted to match the feature information database. After the algorithm was designed, the star sensors with the field of view 15° x 15° were selected and simulated. Simulation results show that the matching of the whole sky can be finished in 1.5 s by this algorithm, and the success rate can reach over 98%. [ABSTRACT FROM AUTHOR]