Midlatitude Klobuchar correction model based on the k-means clustering of ionospheric daily variations

被引:11
|
作者
Pongracic, Barbara [1 ,2 ]
Wu, Falin [1 ]
Fathollahi, Loghman [1 ]
Brcic, David [3 ]
机构
[1] Beihang Univ, Sch Instrumentat & Optoelect Engn, Satellite Nav & Remote Sensing SNARS Res Grp, Beijing, Peoples R China
[2] iOLAP Inc, Rijeka, Croatia
[3] Univ Rijeka, Fac Maritime Studies, Rijeka, Croatia
关键词
Ionospheric delay; Klobuchar model improvement; Midlatitudes; k-means clustering; GNSS; DELAY;
D O I
10.1007/s10291-019-0871-x
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
The ionosphere influences GNSS radio waves and causes errors in measurements. The majority of GNSS users employ single-frequency receivers that mitigate ionospheric effects by utilizing various models. The GPS system corrects for ionospheric errors through the Klobuchar model, which successfully mitigates approximately 50% of the delay on the global scale; this model estimates the ionospheric delay by using one daily peak value at 14:00 local time (LT) with constant nighttime values. However, the daily ionospheric distribution shows a deviation from the Klobuchar model regarding a secondary peak during periods with higher incoming solar radiation and the occurrence of a nighttime peak. We propose a model, namely the midlatitude Klobuchar correction (ML-KC) model, to correct the Klobuchar model for midlatitude users. The proposed model is a function of the day of the year and the LT of the user adjusted to the local solar time. The dependency on the day of the year is modeled by using the k-means algorithm, thereby producing three clusters based on the correlation between daily modeling coefficients, which are expressed as the ratio between the delay from ionospheric maps and the delay estimated by the Klobuchar model. Furthermore, the time dependency is modeled with three harmonic components. The ML-KC was modeled from ionospheric maps over Europe during the period from 2005 to 2016. The performance of the ML-KC model was tested not only on the same dataset with one additional year of data from 2017 but also in two larger regions different from the modeling area to avoid model overfitting. The performance of the ML-KC model was better than that of the Klobuchar model during all assessed years and areas with the most significant improvements in RMS; during 2011, which demonstrated high solar activity, the RMS improvement reached 36.24%. The proposed model, which can be easily implemented in single-frequency GNSS receivers, offers a simple improvement to the Klobuchar model.
引用
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页数:13
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