基于PSF相关的星点定位算法

doi:10.3969/j.issn.1674-1579.2015.06.001

Abstract

Abstract: In order to improve the star locating accuracy with non Gauss energy distribution for a star tracker, a new locating algorithm based on PSFC (point spread function correlation) was proposed. The new method has good anti noise performance, high accuracy and engineering realization. The PSFC locating algorithm is realized by using cross correlation definition and determining the maximum similarity of the measured star PSF and the star gray images of the star tracker. The measured star PSF are prepared before cross correlation computation by all the FOV subpixel measurements. The simulation results show that the accuracy of PSF correlation method considering high noise background can reach 0.034 pixels, and is higher than the traditional centroid method of 1 orders of magnitude , and is higher than the Gauss surface quasi legal of about 20%.

Key words: point spread function correlation , cross correlation, sub pixel, centroid method.

CLC Number:

V448

HAO Yun-Cai, JIA Rui-Ming, MA Xiao-Lei. Star Locating Algorithm Based on PSF Correlation[J]., 2015, 41(6): 1-.

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URL: http://journal01.magtech.org.cn/Jwk3_kjkzjs/EN/10.3969/j.issn.1674-1579.2015.06.001

http://journal01.magtech.org.cn/Jwk3_kjkzjs/EN/Y2015/V41/I6/1

References

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Star Locating Algorithm Based on PSF Correlation

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