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Principle Component Analysis on Absolute TEC Values and its Impact on Kalman Filtering when using a Priori Information

机译:使用先验信息时绝对TEC值的原理分量分析及其对卡尔曼滤波的影响

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In this work time series from 1999 - 2007 of absolute TECU for an area midpoint as well as a latitudinal and longitudinal variation of the electron density has been calculated using a Kalman filter. Dual frequency data from three reference stations in Denmark (56°N latitude) with a station separation of approximately 130-207 km. has been used. For each year a Singular Value Decomposition (SVD) has been performed on the three variables in order to determine the daily, yearly and 11 year characteristic of the ionosphere. The SVD analysis has shown a very dominant first eigenvalue (approximately 6 times larger than the second eigenvalue) and this eigenvalue correspond clearly to how the daily variation vary over the year. The second eigenvalue correspond to how the width of the daily peak varies over the year and the third eigenvalue show a clear yearly variation of the daily signal with peaks around the equinoxes. For the latitudinal and longitudinal variations the first eigenvalue is less dominant (2-3 times larger than the second eigenvalue), but shows the same characteristic. The eigenvalues for each year show a clear correlation with the sunspot number with a correlation coefficient of approximately 0.95. A power spectrum for the entire time series has been processed and shows a yearly signal as well as a very clear daily signal with amplitude of approximately 7.4 TECU. An a priori model of the ionosphere for the three variables is generated from the signals identified in the SVD analysis using the first three eigenvalues. This model is used to optimize the Kalman filter processing. When using the a priori model the standard deviation on the residuals are reduced especially during years with high ionospheric activity. Furthermore the initialization time of the Kalman filter are reduced significantly using the a priori models as starting values.
机译:在该工作时间序列,从1999年到2007年的绝对TECU用于区域中点以及使用卡尔曼滤波器计算了电子密度的延伸和纵向变化。丹麦(56°N纬度)三个参考站的双频数据,站分离约130-207公里。已经用过。对于每年,在三个变量上进行了奇异值分解(SVD),以确定电离层的每日,每年和11年特征。 SVD分析表明了一个非常主导的第一特征值(比第二特征值大约6倍),这个特征值对应于日年的日常变异如何变化。第二个特征值对应于每日峰值的宽度随着年度的变化,第三个特征值显示每日信号的清晰年度变化,昼夜昼夜峰值。对于纬度和纵向变化,第一特征值不太占优势(比第二特征值大2-3倍),但显示出相同的特征。每年的特征值显示与太阳黑子数的明显相关性,其相关系数约为0.95。已经处理了整个时间序列的功率谱,并显示了每年信号以及非常清晰的每日信号,幅度约为7.4 TECU。使用前三特征值在SVD分析中识别的信号产生三个变量的电离层的先验模型。该模型用于优化卡尔曼滤波处理。当使用先验模型时,在具有高电离层活动期间,特别是在多年来减少了残留物上的标准偏差。此外,Kalman滤波器的初始化时间将显着使用先验模型作为起始值。

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