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。 With the development of the general aviation and UAV industries, low cost and miniaturized navigation solutions will have a broad market. A self-iterative positioning algorithm based on single-frequency GPS receiver is proposed to improve the positioning accuracy and enhance the localization convergence. The basic principle of the algorithm is analyzed, and the mathematical model of the algorithm is deduced. The convergence of the algorithm is verified by the static experiment method, and the position information of the algorithm and the position information of the least square method are solved Contrast, embodies the advantages of self-iterative positioning algorithm.