首页> 外文期刊>Advances in space research >Long-term time-varying characteristics of UPD products generated by a global and regional network and their interoperable application in PPP
【24h】

Long-term time-varying characteristics of UPD products generated by a global and regional network and their interoperable application in PPP

机译:由全球和区域网络生成的UPD产品的长期时变特征及其在PPP中的可互操作性应用

获取原文
获取原文并翻译 | 示例
获取外文期刊封面目录资料

摘要

The quality and availability of Uncalibrated Phase Delay (UPD) solutions are crucial to the Precise Point Positioning (PPP) service, and the long-term temporal variability and its contributing factors should be better understood. In this paper, we comprehensively investigate the long-term time-varying characteristics of each UPD product respectively generated by a global and regional network and their interoperable application in PPP-AR (ambiguity resolution), the sampling of the WL and NL UPDs are daily and 30 s, respectively. Firstly, in terms of our 30 day Wide-Lane (WL) UPD products of 31 satellites, the Standard Deviation (STD) of each satellite WL UPDs ranges from 0.04 to 0.06 cycles, indicating that the long-term prediction accuracy of satellite WL UPD is sufficient for fixing Wide-Lane ambiguities. Secondly, when a satellite in eclipsing the discontinulity may corrupt the determination of Narrow-Lane (NL) UPD in form of offset, as a result of lacking or poor satellite attitude dynamic modeling. When the influence of discontinuity is removed, the STD of our estimated satellite NL UPDs is less than 0.05 cycles. Thirdly, the STD of our estimated receiver WL UPDs is mainly below 0.2 cycles, which implies that its stability is one order poorer that of the satellite. In addition, if they are used for stations in and around the network covered region, the stability of the UPD products from the CMONOC (Crustal Movement Observation Network of China) is better than that from a global network, benefit from the fact that all the CMONOC stations are equipped with the same receiver type. Finally, the PPP-AR results show that a rate of 82.9% for stations with a WL-ambiguity-fixed rate of over 90% while 69.5% for stations with an NL-ambiguity-fixed rate of over 80% can be achieved when using UPD from the global network, which is worse than that of using UPD from the CMONOC (85.7% for stations with a WL-ambiguity-fixed rate of over 90% while 75% for stations with an NL-ambiguity-fixed rate of over 80%). The results of the experiment on the UPD interoperable application in PPP show that the global network UPD products can provide a fast AR at any single station, and the convergence time is well below 25 min. Particularly, when the location of a station is in and around the regional network, our results show that the PPP results obtained using regional UPDs enable the consistent use of global UPDs. When the location of a station is far away from the regional network, using the regional UPDs can not achieve PPP-AR. Finally, the WL UPDs of the previous day is used for forecasting to estimate the NL UPDs, the stability analysis results of NL UPDs solution and positioning results are demonstrate the validity of forecasted UPD products.
机译:未校准相延迟(UPD)解决方案的质量和可用性对于精确点定位(PPP)服务至关重要,并且应更好地理解长期的时间变异性及其贡献因素。在本文中,我们全面调查了通过全局和区域网络生成的每个UPD产品的长期时变特性,以及它们在PPP-AR(模糊分辨率)中的可互操作性应用程序,WL和NL UPDS的采样每日分别为30秒。首先,就31个卫星的30天宽车道(WL)UPD产品而言,每个卫星WL UPDS的标准偏差(STD)为0.04至0.06个周期,表明卫星WL更新的长期预测精度足以修复宽车道的歧义。其次,由于缺乏或卫星姿态动态建模的卫星姿态或差的卫星形式,卫星在蚀刻中的卫星可能损坏偏移的窄车道(NL)更新。当移除不连续性的影响时,我们估计的卫星NL UPDS的STD小于0.05周期。第三,我们估计的接收器WL UPDS的STD主要低于0.2个周期,这意味着其稳定性是卫星的稳定性较差。此外,如果它们用于网络覆盖区域内和周围地区的电台,则来自CMONOC(中国地壳运动观察网络)的UPD产品的稳定性优于来自全球网络的更好,从所有的事实中受益CMONOC站配有相同的接收器类型。最后,PPP-AR结果表明,WL-ambiguity-固定速率超过90%的车站的速率为82.9%,而在使用时,具有超过80%的NL-MIGHIGUTY-固定速率的车站的69.5%可以实现来自全局网络的UPDS,这比使用CMONOC的UPM(85.7%的车站超过90%超过90%的车站,而NL-ambiguity-固定速率超过80的车站的85.7%) %)。 PPP中更新的实验结果表明,全球网络UPD产品可以在任何单个站提供快速AR,收敛时间远低于25分钟。特别是,当站在区域网络中的位置和周围地区,我们的结果表明使用区域更新获得的PPP结果能够始终如一地使用全局UPDS。当站的位置远离区域网络时,使用区域更新无法实现PPP-AR。最后,前一天的WL UPDS用于预测估计NL UPDS,NL UPDS解决方案和定位结果的稳定性分析结果展示了预测UPD产品的有效性。

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