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Kalman filter-based algorithms for monitoring the ionosphere and plasmasphere with GPS in near-real time

机译:基于卡尔曼滤波器的算法,用于利用GPS实时监测电离层和等离子层

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Data collected from a GPS receiver located at low latitudes in the American sector are used to investigate the performance of the WinTEC algorithm [Anghel et al., 2008a, Kalman filter-based algorithm for near realtime monitoring of the ionosphere using dual frequency GPS data, GPS Solutions, accepted for publication; for different ionospheric modeling techniques: the single-shell linear, quadratic, and cubic approaches, and the multi-shell linear approach. Our results indicate that the quadratic and cubic approaches perform much better than the single-shell and multi-shell linear approaches in terms of post-fit residuals. The performance of the algorithm for the cubic approach is then further tested by comparing the vertical TEC predicted by WinTEC and USTEC [Spencer et al., 2004. Ionospheric data assimilation methods for geodetic applications. In: Proceedings of IEEE PLANS, Monterey, CA, 26-29 April, pp. 510-517] at five North American stations. In addition, since the GPS-derived total electron content (TEC) contains contributions from both ionospheric and plasmaspheric sections of the GPS ray paths, in an effort to improve the accuracy of the TEC retrievals, a new data assimilation module that uses background information from an empirical plasmaspheric model [Gallagher et al., 1988. An empirical model of the Earth's plasmasphere. Advances in Space Research 8, (8)15-(8)24] has been incorporated into the WinTEC algorithm. The new Kalman filter-based algorithm estimates both the ionospheric and plasmaspheric electron contents, the combined satellite and receiver biases, and the estimation error covariance matrix, in a single-site or network solution. To evaluate the effect of the plasmaspheric component on the estimated biases and total TEC and to assess the performance of the newly developed algorithm, we compare the WinTEC results, with and without the plasmaspheric term included, at three GPS receivers located at different latitudes in the American sector, during a solar minimum period characterized by quiet and moderate geomagnetic conditions. We also investigate the consistency of our plasmaspheric results by taking advantage of the specific donut-shaped geometry of the plasmasphere and applying the technique at 12 stations distributed roughly over four geomagnetic latitudes and three longitude sectors.
机译:从位于美国低纬度地区的GPS接收器收集的数据用于研究WinTEC算法的性能[Anghel等,2008a,基于卡尔曼滤波器的算法,用于使用双频GPS数据进行电离层近实时监控, GPS解决方案,已接受发布;适用于不同的电离层建模技术:单壳线性,二次和三次方法,以及多壳线性方法。我们的结果表明,在拟合后残差方面,二次和三次方法的性能比单壳和多壳线性方法好得多。然后,通过比较WinTEC和USTEC预测的垂直TEC [Spencer等,2004。大地测量应用中的电离层数据同化方法],进一步测试了三次方法的算法性能。在:IEEE计划论文集,加利福尼亚州蒙特雷,4月26日至29日,第510-517页]在五个北美站。此外,由于GPS衍生的总电子含量(TEC)包含GPS射线路径的电离层和等离子层部分的贡献,因此,为了提高TEC检索的准确性,新的数据同化模块使用了来自一个经验的等离子层模型[Gallagher等,1988。地球的等离子层的经验模型。空间研究进展8(8)15-(8)24]已被纳入WinTEC算法。基于卡尔曼滤波器的新算法可在单站点或网络解决方案中估算电离层和等离子层中的电子含量,组合的卫星和接收器偏置以及估算误差协方差矩阵。为了评估等离子层分量对估计的偏差和总TEC的影响并评估新开发算法的性能,我们比较了在不同纬度的三个GPS接收器上的WinTEC结果(包括和不包括等离子层项)美国地区,在以安静和适度的地磁条件为特征的太阳最短时期。我们还利用等离子圈的特定的甜甜圈形几何形状,并在大致分布于四个地磁纬度和三个经度扇区的12个站点上应用该技术,研究了我们的等离子层结果的一致性。

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