Parameters optimization of image sensor for star sensors

2017 IEEE International Conference on Imaging Systems and Techniques (IST) Pub Date : 2017-10-01 DOI:10.1109/IST.2017.8261518

Yuanfang Liao, Xinguo Wei, Jian Li, Gangyi Wang

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引用次数: 1

Abstract

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.

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星敏感器图像敏感器参数优化

星敏感器通过星成像和星识别实现三轴姿态测量，广泛应用于航天器。图像传感器是星敏感器中实现光电转换(P-E)的核心器件，其曝光时间和增益等参数影响着星敏感器的精度和动态性能。因此，星敏感器在设计阶段就面临着如何合理确定图像敏感器参数的问题。现有的方法是“试错法”，缺乏必要的理论基础。提出了一种星敏感器图像敏感器参数优化方法。首先，建立了具有明确物理含义的星敏感器成像模型，并在理论推导和仿真结果的基础上，分析了成像参数对信噪比的影响。当信噪比达到最大值时，得到最优参数。利用真实星敏感器、旋转平台和星模拟器对仿真结果进行了验证。本文总结的方法对其他星敏感器成像参数的设置有一定的参考价值。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2017 IEEE International Conference on Imaging Systems and Techniques (IST)

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