In order to solve the problem that grid algorithm is easily affected by stars in the neigh-borhood,which leads to the mismatching problem,an improved grid algorithm based on angular distance feature is proposed.Firstly,the principle of the improved grid algorithm is introduced.Then the algorithm flow of combining grid recognition pattern with star angular distance recogni-tion pattern is designed.Finally,the improved algorithm is tested and verified on the simulation star map of the sensor with large field of view(FOV)in different directions.The results show that the angular distance feature is rotational invariance and not easily affected by the distribution of stars in the vicinity of the observed star,the improved grid algorithm combined with angular distance feature to make mismatching stars match again,which can improve the recognition rate and robustness while taking into account the advantages of small memory requirement and fast running speed,the highest recognition rate is 98.88％,and the recognition rate is still 95％under the interference of position noise and missing stars,indicating that the algorithm is robust and has good application prospects.
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