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First Results on impact of St. Patricks day storm on GPS precise positioning in equatorial and low latitudes

机译:关于圣帕特里克日风暴对赤道和低纬度GPS精确定位的影响的初步结果

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A severe most storm that occurred on 17-18 March 2015 has produced dramatic effects on Ionosphere in terms of variation in total electron content (TEC) and Scintillations in Indian longitude sector. Various studies from India have emphasized upon abnormal and anomalous deviations in ionospheric delay. However, so far, no study has reported the effects of sharp gradients in TEC on positioning using GPS signals. This paper presents a robust analysis including estimation of precise point position (PPP) using dual frequency GPS signals in L1 and L2 bands. PPP approach has been applied using ionosphere-free and ionosphere combinations to obtain the effect of ionospheric delay on PPP during the geomagnetic storm. RAIM algorithm has been utilized for epoch wise solution estimate while the precise orbit from SP3 files are obtained from IGS analysis centers. A range domain Kalman filter has also been developed to smooth the 30 sec sampled code pseudo-range using carrier phase data The results are shown for static PPP solution from 5 GPS receiver stations from Indian sector which are located along 79-80 E longitude sectors. Static PPP solution for quiet days of month of March 2015 is averaged to exhibit day-to-day variability in effect of ionospheric delay on horizontal positioning. Also, we show the results from PPP technique by applying ionospheric corrections using model based TEC and observed TEC from over each station. Thus, we not only present the results that provide PPP solution without ionospheric correction but also exhibit the effect of incorrect ionospheric corrections by some of the ionospheric models as applied to single frequency observers. The ionospheric plasma depletions produced in Indian sector after 20:00 IST in Indian sector have caused sharp fluctuations in PPP solution whereas, the ionospheric electric fields of storm origin played major role in changing ionospheric daytime delays on 18 March 2015. Results for 5 other moderate storms of solar cycle 24 have also been prepared to compare the effect of severity of the storms and their impact on static PPP positioning from Indian sector. The results form a basis of need for better ionospheric models that could minimize the effect of line of sight ionospheric delays for single frequency users during space weather events. The results highlight the importance of network based studies of ionosphere to understand the latitudinal and longitudinal variations in equatorial and low latitudes.
机译:2015年3月17日至18日发生的最严重的风暴对电离层产生了巨大影响,影响了印度经度部门的总电子含量(TEC)和闪烁。来自印度的各种研究都强调电离层延迟的异常和异常偏差。但是,到目前为止,尚无研究报道TEC中陡峭的梯度对使用GPS信号进行定位的影响。本文提出了一种鲁棒的分析方法,其中包括使用L1和L2频段的双频GPS信号估算精确点位置(PPP)。已使用无电离层和电离层组合的PPP方法来获得地磁风暴期间电离层延迟对PPP的影响。从IGS分析中心获得SP3文件的精确轨道时,已使用RAIM算法进行时域解估计。还开发了一种范围域卡尔曼滤波器,以使用载波相位数据来平滑30秒的采样码伪距。结果显示了来自印度扇区的5个GPS接收站(位于经度为79-80 E的扇区)的静态PPP解决方案。平均而言,2015年3月一个安静月的静态PPP解决方案平均表现出电离层延迟对水平定位的影响的日常变化。此外,我们通过使用基于模型的TEC进行电离层校正并从每个站点观察到的TEC,显示了PPP技术的结果。因此,我们不仅提出了无需电离层校正即可提供PPP解决方案的结果,而且还展示了一些应用于单频观测器的电离层模型对电离层校正不正确的影响。印度部门20:00 IST之后,印度部门产生的电离层等离子体耗竭导致PPP解决方案剧烈波动,而风暴源的电离层电场在2015年3月18日改变电离层白天延迟方面发挥了重要作用。其他5个中等水平的结果还准备了太阳周期24风暴,以比较风暴的严重性及其对印度部门对静态PPP定位的影响。这些结果构成了需要更好的电离层模型的基础,该模型可以将太空天气事件期间单频用户的视线电离层延迟的影响降至最低。结果强调了基于网络的电离层研究对于了解赤道和低纬度的纬度和经度变化的重要性。

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