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Parameters optimization of image sensor for star sensors

机译:明星传感器图像传感器的参数优化

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A star sensor realizes 3-axis attitude measurement by star imaging and star recognition, and is widely used for the spacecraft. Image sensor is the core device achieving photoelectric conversion (P-E) in the star sensor and its parameters such as exposure time and gain affect the performance of accuracy and dynamic. Therefore, a star sensor in the design phase is faced with the problem of how to determine the parameters of image sensor reasonably. The existing method for that is “trial and error method” that lacks the necessary theoretical basis. This paper proposes a parameters optimization method of image sensor for a star sensor. Firstly, the imaging model of star sensor, which has a clear physical meaning, is established, and the effect of imaging parameters on SNR is analyzed based on the corresponding theoretical derivation and simulations results. And the optimal parameters can be obtained when the SNR reaches the maximum value. Then results of experiments using a real star sensor, rotating platform and star simulator validate the simulations results. The summarized method in this paper should prove helpful for setting imaging parameters of other star sensors.
机译:星星传感器通过星形成像和星星识别实现了3轴姿态测量,并且广泛用于航天器。图像传感器是在星形传感器中实现光电转换(P-E)的核心设备及其参数,例如曝光时间,并产生精度和动态的性能。因此,设计阶段中的星传感器面临合理地确定图像传感器参数的问题。现有方法是缺乏必要的理论基础的“试验和错误方法”。本文提出了一个星形传感器的图像传感器参数优化方法。首先,建立了具有明显物理含义的星传感器的成像模型,并且基于相应的理论推导和模拟结果,分析了对SNR上的成像参数的效果。当SNR达到最大值时,可以获得最佳参数。然后使用真实星传感器的实验结果,旋转平台和星模拟器验证了模拟结果。本文的总结方法应该有助于设置其他星传感器的成像参数。

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