| 基于多普勒测速的GPS单历元动态定位算法 |
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| 引用本文： | 李昕,郭际明,章迪,杨飞.基于多普勒测速的GPS单历元动态定位算法[J].武汉大学学报(信息科学版),2018,43(7):1036-1041. |
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| 作者姓名： | 李昕 郭际明 章迪 杨飞 |
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| 作者单位： | 1.武汉大学测绘学院, 湖北 武汉, 430079 |
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| 基金项目： | 国家自然科学基金41474004国家自然科学基金41604019精密工程与工业测量国家测绘地理信息局重点实验室开放基金PF2013-10 |
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| 摘 要： | 在传统的GPS单历元动态定位参数估计中，由于先验约束信息较少，模糊度求解和定位性能往往较低。据此，研究了多普勒测速在GPS单历元动态定位中的应用，提出了一种附有GPS多普勒测速信息约束的坐标更新方法，即利用移动载体先验坐标和多普勒测速信息预测当前历元坐标。考虑到该方法进行坐标更新的精度较高和传统单点定位坐标更新的稳健性较强等特点，在此基础上给出了相应的单历元整周模糊度参数求解策略，进一步提高了该方法的定位性能。试验结果表明，所提出的算法相对于传统的无速度信息坐标约束的GPS单历元动态定位算法，其模糊度浮点解精度、模糊度固定率和平均定位精度均有了进一步提高，尤其是在观测卫星数较少、卫星几何结构较差的情况下更为明显。
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| 关 键 词： | 多普勒测速 单历元 动态定位 模糊度求解 |
| 收稿时间： | 2016-11-09 |
An Algorithm of GPS Single-Epoch Kinematic Positioning Based on Doppler Velocimetry |
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| Institution: | 1.School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, China |
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| Abstract: | Due to the less prior constraint information, the ambiguity resolution and positioning performance are not very good in the GPS single-epoch kinematic positioning parameter estimation. Thus, a new method of GPS single-epoch kinematic positioning based on Doppler velocimetry is proposed in this paper. The coordinate initialization using the velocity information is firstly discussed, the current epoch's coordinate of the moving vehicle is predicted with the priori coordinate and velocity information. Compared with the conventional method of single point positioning (SPP) coordinate initialization, it is expected to obtain higher precision, but poorer robustness as well. Thus, the corresponding strategy for single-epoch ambiguity resolution is further introduced so as to improve the positioning performance of the method in this paper. Contrasting with the conventional algorithm of GPS single-epoch kinematic positioning, the experimental results show that, the method proposed can improve the precision of the float ambiguity, the final ambiguity fixed rate and the average positioning accuracy, especially in the case that, the number of GPS satellites is not sufficient or the geometric structure of the satellites is not very good. |
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