首页> 外文期刊>Journal of Geodesy >Detection of station coordinate discontinuities within the Italian GPS Fiducial Network
【24h】

Detection of station coordinate discontinuities within the Italian GPS Fiducial Network

机译:在意大利GPS基准网络中检测站坐标不连续性

获取原文
获取原文并翻译 | 示例
       

摘要

The Detection Identification Adaptation (DIA) procedure was applied to the coordinate time-series of some permanent GPS stations belonging to the Italian GPS Fiducial Network (IGFN), of the Italian Space Agency (ASI), to detect discontinuities and to reject outliers. The daily solutions of the stations of Cagliari, Genoa, Medicina, Noto, Turin, Perugia and Venice were computed for the period 1997.0-2003.0 using Bernese GPS software v.4.2. The data were interpolated using a model with a linear term and an annual periodic term. The parameters were estimated by least squares. The DIA procedure was organized to automatically detect discontinuities and outliers. Approximately, 70% of the discontinuities present in the coordinate time-series were identified and their magnitudes were estimated. The identified discontinuities are basically caused by equipment replacement and reference frame changes, but in a few cases the reason is still unknown. With regard to the outliers, roughly 6% of the data were rejected. These data were considered outliers on the base of the level of significance and of the power of the test adopted in this work. Except for the stations of Perugia and Venice, the estimated coordinates agree with ITRF2000 values at the 10mm level, and the estimated velocities are within a few mm/year of the ITRF2000 values.
机译:对意大利航天局(ASI)的意大利GPS基准网络(IGFN)的一些永久性GPS站的坐标时间序列应用了“检测识别适应(DIA)”程序,以检测不连续性并排除异常值。使用Bernese GPS软件v.4.2,计算了1997.0-2003.0年卡利亚里,热那亚,梅迪西纳,诺托,都灵,佩鲁贾和威尼斯各个站点的每日解。使用具有线性项和年度定期项的模型对数据进行插值。用最小二乘法估计参数。 DIA程序被组织为自动检测不连续和离群值。大约可以识别出坐标时间序列中不连续的70%,并估计了它们的大小。识别出的不连续性基本上是由设备更换和参考系变更引起的,但在某些情况下,原因仍然未知。关于离群值,大约6%的数据被拒绝。这些数据被认为是基于重要性水平和这项工作中采用的测试能力的异常值。除佩鲁贾和威尼斯站外,估计坐标与10mm处的ITRF2000值一致,并且估计速度在ITRF2000值的几毫米/年以内。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号