地形起伏度与GPS多路径误差的相关性分析  

Correlation analysis about relief and GPS multipath errors

作　　者：邓岳川[1] 周亮广[1] DENG Yuechuan;ZHOU Liartgguang(School of Geographic Information and Tourism,Chuzhou University,Chuzhou,Anhui 239000,China)

机构地区：[1]滁州学院地理信息与旅游学院

出　　处：《测绘科学》2019年第10期21-28,共8页Science of Surveying and Mapping

基　　金：安徽省高校自然科学研究一般项目(KJ2015B05);安徽省高校自然科学重点研究项目(KJ2018A0422)

摘　　要：为研究地形起伏度与全球定位系统(GPS)多路径误差的相关性,该文采用邻域统计、均值变点分析、相关性分析等方法,以ArcGIS为平台,基于某校区1m分辨率的数字高程模型(DEM)数据,运用均值变点分析确定最佳分析区域,并提取地形起伏度,再通过SPSS相关分析,获得地形起伏度与多路径误差Mp1、Mp2的Spearman秩相关系数。结果表明:最佳分析区域为11m×11m,对应的地形起伏度与多路径误差Mp1、Mp2在P<0.01下显著相关;测站周围5.5m范围内的地形起伏度对多路径误差有直接影响,尤其在地形起伏度大于3 m时,与多路径误差Mp2显著相关。In order to study the correlation between relief and global positioning system(GPS)multipath errors,this paper used the methods of neighborhood statistics,mean change point analysis and correlation analysis.Based on the digital elevation model(DEM)data of 1 meter resolution in a campus,mean change point analysis was used to determine the best analysis area and relief was extracted using ArcGIS as a platform,then through SPSS correlation analysis,the Spearman rank correlation coefficient of relief and multipath error Mp1 and Mp2 was obtained.The results showed that the optimum analysis area was 11 m×11 m,and the corresponding relief and multipath error Mp1 and Mp2 were significantly correlated with P<0.01,especially in the case of relief greater than 3 meters,its impact on the multipath error Mp2 was significant.

关 键 词：地形起伏度 多路径误差 相关性分析 均值变点分析 Spearman秩相关系数 

分 类 号：P22&[天文地球—大地测量学与测量工程]