Subdivided locating method of star image for star sensor
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摘要: 介绍了星敏感器的基本工作原理和星图图像的预处理的主要方法,将传统质心法、带阈值的质心法、平方加权质心法和高斯曲面拟合法应用于星敏感器中星图图像的星体细分定位,并进行了较为系统的仿真研究.仿真结果表明,带阈值的质心法是一种较为理想的星体细分定位方法.就噪声水平、阈值选择及低通滤波对细分定位精度的影响进行了仿真研究.最后,利用仿真结果对模拟星图图像的星体进行了细分定位实验,取得了较为满意的结果.Abstract: The basic principle of star sensor and major pre-processing methods of star image were introduced. The traditional centroid, threshold centroid, squared centroid and Gauss curve fitting methods were applied into star locating of star image for star sensor. The simulation was carried out sufficiently. The simulation results show that threshold centroid is the most appropriate method for star locating. Simulation in the influences of noise level, filter processing and threshold choosing on the precision of star locating were made. The star locating of the actual star image was done based on threshold centroid, and the satisfying result was obtained.
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Key words:
- star image /
- star locating /
- threshold value /
- star sensor
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