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Ionospheric Modeling and Precision Positioning Global Navigation Satellite System

机译:电离层模型和精密定位全球导航卫星系统

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In ionosphere, the total electron content (TEC) contributes a significant role in determining the scintillation. Ionospheric scintillation can affect severely in satellite-based navigation and communication systems. Thus, the study of TEC of ionosphere is very crucial. The correlation between TEC and temperature in different weather and time has been presented in this paper. The TEC data was taken from the global positioning system (GPS) receiver at University Malaysia Pahang, Malaysia (120' 24.7388'E and 36' 14.5310'N). These data were analyzed by the SPSS software using multiple regression and leveling process methods, then a model for TEC estimation has been proposed. The results show that during sunny weather, the TEC is highly correlated with temperature compared to the rainy weather. TEC is also correlated with time, the maximum correlation is found ~94% with corresponding TEC value ~35.24. The highest TEC can be obtained from 12 pm to 4 pm, which is around 35 in average. Besides, multiple regression method enhanced TEC estimation accuracy ~8.77% than leveling process method.
机译:在电离层中,总电子含量(TEC)有助于确定闪烁的重要作用。电离层闪烁可能严重影响卫星的导航和通信系统。因此,对电离层的TEC的研究非常至关重要。本文提出了不同天气和时间的TEC和温度之间的相关性。 TEC数据是从马来西亚彭亨大学的全球定位系统(GPS)接收器(120'24.7388'e和36'14.5310'n)。通过SPSS软件使用多元回归和调平过程方法分析这些数据,然后提出了一种用于TEC估计的模型。结果表明,在晴朗的天气期间,与多雨天气相比,TEC与温度高。 TEC也与时间相关,找到最大相关性〜94%,相应的TEC值〜35.24。最高的TEC可以从12pm到4 pm的下午12点,平均约为35。此外,多元回归方法增强了TEC估计精度约为8.77%,而不是平整过程方法。

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