Abstract
The star sensor is a high precise attitude measurement equipment for the spacecraft, and star identification is one of the key techniques of star sensor’s attitude determination. Star tracking mode is the main working mode of the star sensor. However, during star tracking, when the star sensor is in the harsh environment, the star imaging is seriously affected, which leads to the decline of star attitude determination accuracy and even the failure of star identification. The star sensor re-enters the “lost in space” mode, resulting in navigation interruption. In this paper, the pure digital simulation method is adopted. Firstly, the SAO guide star catalogue is properly processed, and then we used it to generate star maps. On this basis, a comprehensive noise model of harsh environment is established by analyzing the generation mechanism of the transient effect, plume effect and the false stars which like star. At the same time, Gaussian noise and salt noise are used to pollute the star image. Finally, the joint denoising algorithms such as threshold segmentation, inter frame star image comparison are used to process the star images. The experimental results show that Gaussian noise and salt noise can simulate the influence of space harsh environment on star sensor imaging well. The proposed joint denoising algorithm can restore the star image to the pure mode as much as possible.
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