星图识别三角形算法综述

Triangle Algorithm Overview of Star Pattern Recognition

在现代的航天领域,根据星敏感器所获得的星图分布情况,可得到飞行器的姿态。因其具有可靠性、保密性、精度高、适用范围大而得到广泛的应用。首先对传统的识别算法进行概述,然后对近年来提出的一些改进算法进行总结,并分别详细地介绍了改进三角形算法、向量索引的算法、字符串索引算法、无需标定参数识别算法、基于神经网络和支持向量机的算法。这些方法在识别速度、成功率、实时性上都有一定程度的提高,在降低虚警的情况下可以提高算法的鲁棒性,还总结了现在星敏感器识别方法的不足,并展望了今后的发展方向。

In modern aerospace, according to star pattern distribution status obtained by star sensors, the attitudes of space vehicle are obtained. It has widely application for high reliability, confidentiality, accuracy and widely suitable range. Firstly, traditional recognition algorithm is introduced. And then, improved algorithms referred in recent years are summarized. And improved triangle, vector index, string index, parameter identification without cal- ibration and based on neural network and support vector machine algorithm are respectively introduced in detail. These methods in the area of recognition speed, success rate and real-time ability are improved to some extent. At the condition of low false alarm, the robustness of the algorithm is improved. Finally, the shortcomings of current star sensor identification methods are summarized and the development trends are forecasted.