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GPS高程拟合方法对比研究分析
引用本文:方苏阳,赵勇.GPS高程拟合方法对比研究分析[J].全球定位系统,2018,43(4):110-116.
作者姓名:方苏阳  赵勇
作者单位:1.安徽理工大学 测绘学院,安徽 淮南 232001
摘    要:不同的GPS高程拟合方法具有各自相应局限性,单一拟合方法在不同测区不具有普适性。针对上述问题,重点研究了二次多项式曲线拟合、多面函数拟合、二次曲面拟合、BP神经网络法等四种GPS高程拟合方法,结合实际工程项目,对研究区域进行高程拟合,分析实验结果,评定拟合精度。通过对四种拟合方法所得结果分析对比得到结论:四种方法均满足四等水准测量要求,拟合残差均小于3 cm;BP神经网络拟合在精度上高于其他三种;根据各拟合方法的特点及适用范围,正确使用拟合方法是获得高精度正常高的必要条件。本文研究成果对不同环境下GPS高程拟合具有相应的应用与参考价值。 

关 键 词:GPS高程拟合    GPS高程拟合模型    BP神经网络    对比分析

Experimental Research on GPS Height Fitting Method
Institution:1.School of Geomatics, Anhui University of Science and Technology, Huainan 232001, China2.Hua Dong You Se Ce Hui, Nanjing 210000, China
Abstract:Different methods of GPS height fitting have limitations respectively and the single fitting method does not have universality in different survey areas.Aiming at these problems,this paper mainly studies four kinds of GPS height fitting methods:polynomial curve fitting,multi surface function fitting,quadric surface fitting and BP neural network method. Combined with actual engineering projects, height fitting of the study area is carried out,experimental results are analyzed, and the fitting accuracy is evaluated.Based on the analysis and comparison of the results obtained by the four fitting methods, conclusions are as follows:All four methods meet the requirements of the fourth grade leveling survey, and the fitting residuals are less than 3 cm;the accuracy of BP neural network fitting is higher than others;according to the characteristics and the scope of application in different fitting method,correct use of the fitting method is necessary condition to obtain high precision normal height.This study has corresponding application and reference value for GPS height fitting in different environments. 
Keywords:
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