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闪烁参数、多径与电离层总电子含量变化率之间的关系分析

Analysis of the Relationship between Scintillation Parameters, Multipath and ROTI.

作者信息

Li Chendong, Hancock Craig M, Hamm Nicholas A S, Veettil Sreeja V, You Chong

机构信息

Geospatial and Geohazards Research Group, University of Nottingham, Ningbo 315100, China.

Nottingham Geospatial Institute, University of Nottingham, Nottingham NG7 2RD, UK.

出版信息

Sensors (Basel). 2020 May 19;20(10):2877. doi: 10.3390/s20102877.

DOI:10.3390/s20102877
PMID:32438604
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7284469/
Abstract

Global Navigation Satellite System (GNSS) operation can be affected by several environmental factors, of which ionospheric scintillation is one of the most significant. Scintillation is usually characterized by two indices, namely the amplitude scintillation index (S4) and phase scintillation index (σ). However, these two indices can only be generated by specialized GNSS receivers, which are not widely available all around the world. To popularize the study of scintillation, this article proposes to use more accessible parameters, namely multipath (MP) and rate of change of total electron content index (ROTI), to characterize scintillation. Using GPS data obtained on six days in total from three stations, namely PRU2 and SAO0P located in Sao Paulo, Brazil and SNA0P located in Antarctica, respectively, both the time series plots and 2D maps were generated to investigate the relationship of scintillation indices (S4 and σ) with MP and ROTI. To prevent the effect of the real multipath error, a 30-degree satellite elevation mask is applied to all the data. As the scintillation indices S4 and σ have a sampling interval of 1 min, MP and ROTI are calculated with the same sampling interval for a more direct comparison. The results show that the structural similarity (SSIM) and correlation coefficient (CC) between parameters was greater than 0.7 for 70% of outputs. In addition, the variogram and cross-variogram are applied to investigate the spatial structure of the MP, ROTI, S4 and σ in order to support the results of SSIM and CC. With outputs in three forms, promising spatial and temporal relationships between parameters was observed.

摘要

全球导航卫星系统（GNSS）的运行会受到多种环境因素的影响，其中电离层闪烁是最重要的因素之一。闪烁通常由两个指数来表征，即幅度闪烁指数（S4）和相位闪烁指数（σ）。然而，这两个指数只能由专门的GNSS接收机生成，而这种接收机在世界各地并不广泛可用。为了推广对闪烁的研究，本文建议使用更易获取的参数，即多径（MP）和总电子含量指数变化率（ROTI）来表征闪烁。利用分别从位于巴西圣保罗的PRU2和SAO0P以及位于南极洲的SNA0P这三个站点总共六天获取的GPS数据，生成了时间序列图和二维地图，以研究闪烁指数（S4和σ）与MP和ROTI之间的关系。为了防止真实多径误差的影响，对所有数据应用了30度的卫星仰角屏蔽。由于闪烁指数S4和σ的采样间隔为1分钟，MP和ROTI以相同的采样间隔进行计算以便进行更直接的比较。结果表明，70%的输出中参数之间的结构相似性（SSIM）和相关系数（CC）大于0.7。此外，应用变差函数和交叉变差函数来研究MP、ROTI、S4和σ的空间结构，以支持SSIM和CC的结果。通过三种形式的输出，观察到了参数之间有前景的时空关系。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5ab9/7284469/0964d99ba17c/sensors-20-02877-g018.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5ab9/7284469/0964d99ba17c/sensors-20-02877-g018.jpg
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