随着通用航空及无人机产业的发展,低成本及小型化的导航解决方案将具有广泛的市场.提出了一种基于单频GPS接收机的自迭代定位算法,用于提高定位精度,增强定位收敛性.对该算法的基本原理进行了分析,并推导出该算法的数学模型,通过静态实验的方法对该算法的收敛性进行验证,并将该算法的位置信息与最小二乘法解出的位置信息进行对比,体现了自迭代定位算法的优势.%Accompanied by the blossom of General Aviation (GA)aircraft and Unmanned Aerial Vehicles (UAVs)industry,a low-cost and miniaturized positioning solution will occupy the potential market. The thesis presents a kind of self-iterating algorithm to improve the accurate and astringency of position determination based on a single frequency (L1) GPS receiver. In this project,the theory of self-iterating algorithm is analysed and the mathematical model is deduced according to the essential theory. Static trial is carried out in a real condition to evaluate the performance of this algorithm. The comparison between the positioning determination of self-iterating algorithm and least squares method reveals the advantages of the positioning algorithm that raised by this thesis.
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