2010•Jisuanji fangzhenRequires access

The algorithm research of ground celestial sphere and dynamic star simulator

Ding Qiang-qiang

Open publisher page 4 citations

Abstract

In order to realize the test of the software and the performance of star tracker on the ground, a simulation algorithm for dynamic and celestial sphere star image was proposed. This algorithm could provide simulation star image at any time and any inertial coordinate system. A new method of space district dividing was also presented. It can remarkably enhance the updating frequency simulation star image when using the proposed district dividing index method to select navigation stars. An analytical study of the star point spread models was introduced, and it can make the simulation image more close to the real situation. Some disturbances were taken into account when they appear in the field of view (FOV) of star tracker, such as star cluster, nebula and sunlight. In addition, the Monte Carlo method was adopted to simulate the disturbances happened randomly in the simulation star image, so that it could well test the robustness of the software of star tracker.

About this research paper

What this paper is about

In order to realize the test of the software and the performance of star tracker on the ground, a simulation algorithm for dynamic and celestial sphere star image was proposed. This algorithm could provide simulation star image at any time and any inertial coordinate system. A new method of space district dividing was also presented. It can remarkably enhance the updating frequency simulation star image when using the proposed district dividing index method to select navigation stars. An analytical study of the star point spread models was introduced, and it can make the simulation image more close to the real situation. Some disturbances were taken into account when they appear in the field of view (FOV) of star tracker, such as star cluster, nebula and sunlight. In addition, the Monte Carlo method was adopted to simulate the disturbances happened randomly in the simulation star image, so that it could well test the robustness of the software of star tracker.

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Available abstract

In order to realize the test of the software and the performance of star tracker on the ground, a simulation algorithm for dynamic and celestial sphere star image was proposed. This algorithm could provide simulation star image at any time and any inertial coordinate system. A new method of space district dividing was also presented. It can remarkably enhance the updating frequency simulation star image when using the proposed district dividing index method to select navigation stars. An analytical study of the star point spread models was introduced, and it can make the simulation image more close to the real situation. Some disturbances were taken into account when they appear in the field of view (FOV) of star tracker, such as star cluster, nebula and sunlight. In addition, the Monte Carlo method was adopted to simulate the disturbances happened randomly in the simulation star image, so that it could well test the robustness of the software of star tracker.

Key concepts: Star tracker, Star (game theory), Celestial sphere, A* search algorithm, Robustness (evolution), Computer science, Celestial navigation, Stars

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