| 一种用于静态红外地球敏感器的高效算法 |
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| 引用本文： | 陈璐,王昊,王本冬,金仲和.一种用于静态红外地球敏感器的高效算法[J].宇航学报,2019,40(8):928-936. |
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| 作者姓名： | 陈璐 王昊 王本冬 金仲和 |
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| 作者单位： | 浙江大学航空航天学院，杭州 310027 |
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| 基金项目： | 国家杰出青年基金（61525403） |
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| 摘 要： | 为提高微纳卫星的姿态检测效果，针对静态红外地球敏感器的全景鱼眼成像特点，以单张红外成像为研究对象建立成像模型，提出了间隔向量积与t Location-Scale分布置信区间均值结合的算法。将红外成像投影到空间球体上形成空间像点环；在像点环上间隔取点做向量积，得到当前目标姿态角的样本集合；通过t Location-Scale分布进行极大似然估计，得到目标姿态角样本均值和方差的估计量；再次计算1σ置信区间内样本均值，最终得到目标姿态角的估计值。相比于原算法，目标姿态角在±10°内的标准差由0.06°下降为0.03°，精度提高了50%。另外为避免迭代收敛的耗时问题，给出了应用于实际工程的查表法，使运算速度提高了87%，提升了静态红外地球敏感器的测量精度和效率。
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| 关 键 词： | 静态红外地平仪 算法优化 向量积 tLocation-Scale分布 置信区间 微纳卫星 |
| 收稿时间： | 2018-07-25 |
An Efficient Algorithm for Static Infrared Earth Sensor |
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| CHEN Lu,WANG Hao,WANG Ben dong,JING Zhong he.An Efficient Algorithm for Static Infrared Earth Sensor[J].Journal of Astronautics,2019,40(8):928-936. |
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| Authors: | CHEN Lu WANG Hao WANG Ben dong JING Zhong he |
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| Affiliation: | School of Aeronautics and Astronautics, Zhejiang University, Hangzhou 310027, China |
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| Abstract: | In order to improve the attitude detection effect of a micro-satellite, aiming at the panoramic fish-eye imaging characteristics of the static infrared Earth sensor, the imaging model is established with a single infrared image as the object of study. An algorithm combining the interval vector product with the confidence interval mean of t location-scale distribution is proposed. The infrared imaging is projected onto the space sphere to form a spatial image ring; the vector product is made by taking the points at intervals on the image point ring, and the sample set of the attitude angle of the current target is obtained; the sample mean in the confidence interval of 1σ is calculated again, and the estimation of the attitude angle of the target is finally worked out. Compared with the result of the original algorithm, the standard deviation of the target attitude angle, within ±10 degree, is reduced from 0.06 degrees to 0.03 degrees, and the accuracy is improved by 50%. In addition, in order to avoid the time-consuming problem of iterative convergence, a table checking method used in practical engineering is given, and the operation time is reduced by 87%. The measurement accuracy and efficiency of the static infrared Earth sensor are improved. |
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| Keywords: | Static infrared horizon sensor Algorithm optimization Vector product t location-scale distribution Confidence interval Micro-satellite |
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