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精密单点定位的一种低动态解法
引用本文:王振杰,魏恩岳,范士杰,乔永杰. 精密单点定位的一种低动态解法[J]. 海洋测绘, 2013, 33(1): 9-11
作者姓名:王振杰  魏恩岳  范士杰  乔永杰
作者单位:1. 中国石油大学(华东)地球科学与技术学院,山东青岛,266555
2. 中国石油天然气管道工程有限公司,河北廊坊,065000
基金项目:国家自然科学基金项目(40974004)
摘    要:采用自适应选权滤波法,对低动态精密单点定位的解算方法进行研究,并编写了精密单点定位程序。通过合理选择自适应因子参数,对船载动态GPS测量数据进行了事后精密单点定位处理。结果表明:相对于经典卡尔曼滤波方法,采用自适应选权滤波法可大大提高低动态精密单点定位解的精度,X、Y、Z三个方向的RMS分别提高了79.9%、69.7%和92.0%。

关 键 词:精密单点定位  自适应选权滤波  低动态解  自适应因子

A Low Dynamic Solution for Precise Point Positioning
WANG Zhenjie,WEI Enyue,FAN Shijie,QIAO Yongjie. A Low Dynamic Solution for Precise Point Positioning[J]. Hydrographic Surveying and Charting, 2013, 33(1): 9-11
Authors:WANG Zhenjie  WEI Enyue  FAN Shijie  QIAO Yongjie
Affiliation:1 ( 1. School of Geosciences,China University of Petroleum,Qingdao 266555,China; 2. China Petroleum Pipeline Engineering Corporation,Langfang 065000,China)
Abstract:Using the adaptive filtering by selection of the parameter weights method, we study on the low dynamic precise point positioning solution method, and compile the precise point positioning program. Through the reasonable selection of adaptive factor parameter, the ship dynamic GPS measurements are processed after PPP treatment. The results showed that: compared to the classical Calman filter method, the adaptive filtering by selection of the parameter weights method can greatly improve the accuracy of the solution of low dynamic PPP with X, Y and Z directional RMS increasing by 79.9% ,69.7% and 92.0% respectively.
Keywords:precise point positioning  adaptive filtering by selection of the parameter weights  low dynamic solution  adaptive factor
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