Detection of GNSS ionospheric scintillations in multiple directions over a low latitude station

IF 1.2 Q4 REMOTE SENSING
Lakshmanna Kuruva, Maheswara Rao Avula, D. S. Achanta
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引用次数: 0

Abstract

Abstract Analysis of huge data and detection of scintillation events by human visualization is expensive and time consuming process and also unfeasible in real time. In this paper, classical approaches namely Hard, Semi-Hard and Manual annotation rules are used for detection of the scintillations. For this, one week data is acquired from Septentrio PoLaRx5S GNSS scintillation monitoring Receiver corresponding to various constellations. Seven constellations namely GPS, GLONASS, Galileo, SBAS, BeiDou, QZSS and IRNSS-L5 signals during pre-sunset and post sunset hours are considered. The occurrence of scintillations due to pre-sunset and post sunset period by using hard and semi hard detection rules are analysed. It is observed that the occurrence of scintillations is more in post-sunset hours as compared to pre-sunset hours in all constellations. The performances of Semi Hard and Hard detection rules are compared with manual annotation by using confusion matrices statistical parameters namely accuracy, misclassification and precision. Identified scintillation signals coming from the least and worst affected directions. These results would be useful for early detection of scintillation without human inspection of scintillation events.
探测低纬度台站上空多个方向的全球导航卫星系统电离层闪烁
摘要 通过人工可视化分析海量数据和检测闪烁事件既费钱又费时,而且在实时情况下也不可行。本文采用经典方法,即硬标注、半硬标注和手动标注规则来检测闪烁。为此,从 Septentrio PoLaRx5S 全球导航卫星系统闪烁监测接收器获取了与不同星座对应的一周数据。考虑了七个星座,即 GPS、GLONASS、Galileo、SBAS、BeiDou、QZSS 和 IRNSS-L5 信号在日落前和日落后时段的情况。使用硬检测规则和半硬检测规则分析了日落前和日落后闪烁的发生情况。结果表明,在所有星座中,日落后时间段的闪烁发生率都高于日落前时间段。通过使用混淆矩阵统计参数,即准确度、误分类和精确度,将半硬和硬检测规则的性能与人工标注进行了比较。识别出的闪烁信号来自受影响最小和最严重的方向。这些结果将有助于在无需人工检查闪烁事件的情况下对闪烁进行早期检测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Applied Geodesy
Journal of Applied Geodesy REMOTE SENSING-
CiteScore
2.30
自引率
7.10%
发文量
30
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