北京航空航天大学学报 ›› 2015, Vol. 41 ›› Issue (1): 174-180.doi: 10.13700/j.bh.1001-5965.2014.0044

• 论文 • 上一篇    下一篇

iGPS测量不确定度空间分布分析方法

孙涪龙1, 赵罡1, 王伟1, 陈磊2   

  1. 1. 北京航空航天大学 机械工程及自动化学院, 北京 100191;
    2. 上海飞机制造有限公司, 上海 200436
  • 收稿日期:2014-01-23 出版日期:2015-01-20 发布日期:2015-02-04
  • 通讯作者: 赵罡(1972-),男,河北文安人,教授,zhaog@buaa.edu.cn,主要研究方向为飞机数字化装配. E-mail:zhaog@buaa.edu.cn
  • 作者简介:孙涪龙(1989-),男,四川江油人,硕士生,eric794466659@126.com
  • 基金资助:

    国家商用飞机制造工程技术研究中心创新基金资助项目(SAMC13-JS-15-027);北京市重点实验室2013年度创新基地培育与发展工程专项资助项目(Z131104002813099)

Analysis method of iGPS measurement uncertainty spatial distribution

SUN Fulong1, ZHAO Gang1, WANG Wei1, CHEN Lei2   

  1. 1. School of Mechanical Engineering and Automation, Beijing University of Aeronautics and Astronautics, Beijing 100191, China;
    2. Shanghai Aircraft Manufacturing Co. Ltd, Shanghai 200436, China
  • Received:2014-01-23 Online:2015-01-20 Published:2015-02-04

摘要:

针对iGPS实际测量现场的快速评估与布局优化问题,研究了iGPS测量不确定度空间分布规律.给出了iGPS测量模型,据此建立了iGPS测量不确定度通用两站分析模型,进一步提出了基于两站模型变换的测量不确定度空间分布分析方法,并根据发射器覆盖范围进行了修正.该方法适用于发射器为任意数目与空间布局的iGPS测量环境,可用于计算iGPS测量环境中任一空间点的测量不确定度.构建了iGPS两站与四站实际测量环境,并进行了数值仿真计算与实际测量偏差对比.结果表明,两者数据吻合良好,该iGPS测量不确定度空间分布分析方法能有效描述iGPS测量不确定度空间分布规律.

关键词: iGPS, 测量模型, 测量不确定度, 两站模型, 空间分布

Abstract:

The spatial distribution of iGPS measurement uncertainty was studied to help rapid assessment and layout optimization of iGPS measurement. According to the measurement model of iGPS, a typical two-station model of measurement uncertainty was established. Furthermore, a universal analysis method of iGPS measurement uncertainty distribution was proposed and modified in accordance with transmitter coverage. This method is applicable to diverse iGPS measurement environment with an arbitrary number of the transmitters in different layouts, and can be used to calculate the measurement uncertainty at any spatial point. Real measurement environment with two stations and four stations were established respectively. The distribution of actual measured deviations corresponded to the numerical simulation results. This analysis method was proved effective to describe the measurement uncertainty distribution pattern of iGPS.

Key words: iGPS, measurement model, measurement uncertainty, two-station model, spatial distribution

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