模糊度二维搜索的姿态测量改进算法

发布时间：2018-05-23 13:47

本文选题：整周模糊度 + 姿态测量　；参考：《空军工程大学学报(自然科学版)》2017年01期

【摘要】：值域算法由于采用遍历姿态角的方式建立搜索空间,从而会造成初始化时间较长的问题,故提出了一种基于窄巷组合的模糊度二维搜索算法:首先基于卫星空间几何关系对参考星与两颗主星间的窄巷主模糊度范围进行约束,利用其与姿态角之间的关系推得全体候选姿态角,从而以一种非遍历且不遗漏正确候选姿态角的途径得到搜索范围。然后基于值域二维搜索模型求解各候选姿态角相对应的窄巷模糊度浮点解,就近取整后依次采用模糊度整数特性法、基线先验信息法以及基线残差平方和最小准则固定整周模糊度。试验结果表明:文中算法相比原算法,不仅初始化时间由先前的153 s缩短至76 s,而且姿态精度总体提高近15%。
[Abstract]:Because the search space is established by traversing the attitude angle, the range algorithm will cause the problem of long initialization time. Therefore, a two-dimensional ambiguity search algorithm based on narrow lane combination is proposed. Firstly, based on the geometric relationship of satellite space, the range of main ambiguity between reference star and two main stars is constrained. All candidate attitude angles are derived by using the relationship between attitude angle and attitude angle, and the search range is obtained by a non-ergodic approach without omission of correct candidate attitude angle. Then, based on the 2-D search model of the range, the floating-point solution of the narrow lane ambiguity corresponding to each candidate attitude angle is solved, and the integer characteristic method of ambiguity is adopted in turn after the nearest integration. The baseline priori information method and the minimum criterion of squared sum of the baseline residuals are used to fix the integer ambiguity. The experimental results show that compared with the original algorithm, not only the initialization time is shortened from 153 s to 76 s, but also the attitude accuracy is improved by 15%.
【作者单位】：空军工程大学信息与导航学院;
【基金】：国家自然科学基金(61273049)
【分类号】：P228.4

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