A novel method for subdivided locating of star image in star identification

Zhou, Mingyuan; Shi, Ying

doi:10.1016/j.ijleo.2015.05.144

Cited by 1 publication

(1 citation statement)

References 9 publications

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“…The star sensor is a kind of attitude measurement instrument aiming at stars, which can obtain the attitude accuracy in arcseconds, and the measurement accuracy is very high [1] . Star sensor mainly uses optical lens and image sensor to image stars, then obtains star position and brightness information through star point extraction and centroid positioning, then uses star map recognition to obtain the star corresponding to the star point in the star catalog, and finally calculates the attitude information through attitude solution [2][3] .In recent years, with the development of the aviation industry, the accuracy of the star sensor is required to be higher and higher [4][5][6] .…”

Section: Introductionmentioning

confidence: 99%

A new star location method based on rectangular hole Fraunhofer diffraction

Chen,

Yang,

et al. 2024

2024 International Conference on Optoelectronic Information and Optical Engineering (OIOE 2024)

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The traditional star sensor uses the pupil function of the lens to produce circular aperture Fraunhofer diffraction to form the diffuse spot, then enlarges the diffuse diameter by defocusing, and finally uses Gaussian fitting to determine the centroid of the star point. Compared with the traditional star sensor, this paper designs a new star location method based on rectangular hole Fraunhofer diffraction. The method first changes the optical system structure of the star sensor, so that the pupil function produces Fraunhofer diffraction image on the focal plane of the optical lens at infinite distance, and then directly determines the centroid of the star point through Gaussian fitting. Finally, the reliability of this method is verified by simulating random error. The Gaussian fitting algorithm of the new star sensor has higher accuracy, less computation burden and higher accurate reliability. Experiments show that the localization accuracy of this method can reach 0.007 pixels.

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