Subdivided Locating Method of Single Star Image for Star Sensor

The characteristic of single star image was introduced. Some useful subdivision methods for improving the precision of star locating were expounded and analyzed. These methods were applied into star locating of simulative single star image. A detailed comparison was carried out for the precision of various subdivision methods when the star center of simulative single star image was located anywhere between the CCD pixels. The simulation results show that squared centroid and Gauss curve fitting methods are better, we can make a choice according to the condition of application.