Abstract
The simulated star map generated by the dynamic star simulator cannot meet the current demand for calibration of the star map recognition rate of the star sensor due to the huge amount of guide star catalog data and the slow retrieval process. This paper proposes the guide star equipartition method, which makes the constant number of each sub-region of the guide star catalog basically the same. This method first divides the declination at equal intervals through the field of view of the dynamic star simulator, and then determines the interval of the right ascension by the average number of stars with magnitude Mv that can be photographed in the field of view of the star sensor. The SAO (Smithsonian Astrophysical Observatory) catalog containing 5103 stars in the whole celestial sphere is divided into 452 sub-areas by the average number of guide stars. After the division, the guide star retrieval time is about 8ms, and the refresh rate of the simulated star map is increased by more than three times. The real-time requirements of the dynamic star simulator have been improved. Based on this, a star map simulation software is designed, which can realize the division of star catalogs with different fields of view and different magnitude thresholds.
Highlights
As a high-precision attitude measurement device, the star sensor is widely used in the aviation and aerospace fields
The guide star equipartition method proposed in this paper is based on the declination of equal intervals, and considering the premise that the number of stars in each subregion is equal in the partition, the right ascension is divided
The celestial sphere is divided into non-overlapping regions by right ascension and declination, and the separation interval can be close to the radius of the field of view of the dynamic star simulator
Summary
As a high-precision attitude measurement device, the star sensor is widely used in the aviation and aerospace fields. Xiao-Liang et al [13] used the method of inscribed cubes to divide the surface of the celestial sphere into 486 sub-regions This method divided the regions into uniform and nonoverlapping divisions, which can quickly search for guide stars, but for stars The judgment of the boundary of the subregion is more complicated. Li et al [14] used a quadrangular pyramid partition method to divide the surface of the celestial sphere into approximately 60,000 sub-regions This method may make a navigator star appear in multiple sub-regions and require a lot of storage space for data storage. When searching for guide stars, search based on right ascension and declination, so as to achieve the purpose of improving the refresh rate of the star map
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