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

机译:第一次结果对圣帕特里克节风暴对赤道和低纬度地区GPS精确定位的影响

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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日发生的严重风暴在印度经度部门的全电子含量(TEC)和闪烁方面对电离层产生了显着影响。对印度的各种研究强调了电离​​层延迟异常和异常偏差。然而,到目前为止,没有研究尚未通过GPS信号报告TEC中的尖锐梯度对定位的影响。本文呈现了一种稳健的分析,包括使用L1和L2带中的双频GPS信号估计精确点位置(PPP)。 PPP方法已经使用无电离层和电离层组合施用,以获得地磁风暴期间电离层延迟对PPP的影响。 Raim算法已被用于时代明智的解决方案估计,而SP3文件的精确轨道是从IGS分析中心获得的。还开发了一种范围域Kalman滤波器来平滑30秒采样码伪范围使用载波相位数据,结果显示了从印度扇区的5个GPS接收站的静态PPP解决方案所示的结果。静态PPP解决方案适用于2015年3月的安静日期,平均为展示电离层延迟对水平定位的日常变异性。此外,我们通过使用基于模型的TEC和从每个站观察到的TEC来显示PPP技术的结果。因此,我们不仅介绍提供PPP溶液的结果,而不存在电离层校正,而且还表现出应用于单频观察者的一些电离层模型的不正确电离层校正的效果。印度部门在印度部门20:00以后在印度部门生产的电离层等离子体耗尽在PPP解决方案中造成了剧烈波动,而风暴原产地的电离层电场在2015年3月18日改变电离层白天延误中发挥了重要作用。5其他中度的结果也准备了太阳循环24的风暴,以比较风暴的严重程度及其对印度部门静态PPP定位的影响。结果形成了需要更好的电离层模型的基础,这些模型可以最大限度地减少空间天气事件期间单频用户的视线电离层延迟的影响。结果突出了基于网络对电离层的重要性,了解赤道和低纬度的纬度和纵向变化。

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