Comparative analysis of BDGIM, NeQuick-G, and Klobuchar ionospheric broadcast models

Tian, Yu; Li, Shuhui; Shen, Hang; Zhang, Wenjie; Hao, Wenyi

doi:10.1007/s10509-022-04109-7

Cited by 5 publications

(2 citation statements)

References 31 publications

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“…The ionosphere is considered as data for statistical analysis and thus for prediction. The International Reference Ionosphere (IRI), Klobuchar, Bent and other models can describe the overall distribution of ionospheric TEC [3][4], but the accuracy of describing regional ionospheric TEC is lacking, and the current research is mainly focused on the forecasting method of time series analysis. Zhai Dulin et al [5] applied the time-series prediction model to the detection of ionospheric TEC anomalies, and the experimental results showed that the time-series prediction model is more accurate than the Interquartile Range (IQR) and the Autoregressive Integrated Moving Average (ARIMA) models.…”

Section: Introductionmentioning

confidence: 99%

Regional Ionospheric Frequency Domain Characterization and Short-term Forecasting Methods

Kang,

Wang,

Cong

et al. 2023

J. Phys.: Conf. Ser.

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Total electron content (TEC) is an important characteristic parameter of the ionosphere, which has a great impact on applications such as navigation error correction. The paper addresses the need for short- and medium-term forecasting of regional ionospheric TEC. Firstly, we analyze the frequency domain characteristics of ionospheric TEC, and analyze the data in the frequency domain based on the characteristics of trend, periodicity and abruptness of ionospheric TEC changes influenced by solar activity, combined with the Prophet algorithm. Then, according to its frequency domain characteristics, Prophet is used to achieve hour-by-hour prediction. The computer modeling results show that the RMSE of the 7-day forecast is better than 1.262 TECU during the geomagnetically quiet period, and the method is suitable for the short- and medium-term forecasting of ionospheric TEC with good forecast accuracy and time efficiency.

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Section: Introductionmentioning

confidence: 99%

Regional Ionospheric Frequency Domain Characterization and Short-term Forecasting Methods

Kang,

Wang,

Cong

et al. 2023

J. Phys.: Conf. Ser.

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“…One possible reason for this is the lack of publicly available RT BDGIM parameters, which are not included in standard RINEX v3.04 navigation files. Current analyses using operational BDGIM data are generally limited to periods before July 2021 (GuangxingWang et al, 2021;Tian et al, 2022;Yasyukevich et al, 2023;Zhu et al, 2019). The performance of the actual broadcast BDGIM during different solar activities in the positioning domain has not been thoroughly validated and analyzed.While the BDSK has been extensively studied, most research has focused on its performance in China before 2020(Cheng et al, 2019;Song et al, 2019;Wu et al, 2013;Xue et al, 2020;.…”

mentioning

confidence: 99%

Investigation of the Contribution of Five Broadcast Ionospheric Models (GPSK, NTCMG, NEQG, BDGIM, and BDSK) and IRTG to GNSS Positioning During Different Solar Activities in Solar Cycle 25

Li,

Yuan,

Zhang

et al. 2024

Space Weather

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Additional ionospheric information is essential for mitigating errors in single‐frequency (SF) Global Navigation Satellite Systems (GNSS) positioning. The increasing number of low‐cost dual‐frequency (DF) receiver users faces limitations in tracking DF observables compared to traditional geodetic receivers. Consequently, ionospheric correction algorithms (ICAs) are also essential for low‐cost DF devices in hybrid‐frequency positioning. To evaluate the performance of commonly used ICAs during solar cycle 25, our study presents a global statistical investigation of the contribution of five broadcast ionospheric models (BIMs) and the International GNSS Service (IGS) combined real‐time global ionospheric maps (IRTG) to the positioning domain, covering both quiet and perturbed ionospheric conditions. The BIMs investigated include the GPS Klobuchar (GPSK), Galileo NequickG (NEQG), NTCM‐GlAzpar (NTCMG), BDS‐2 Klobuchar (BDSK), and BeiDou Global Ionospheric delay correction Model (BDGIM). Experimental results from standard point positioning indicate that IRTG demonstrates superior overall accuracy compared to all BIMs, with a mean 3D root mean squared (RMS) of 2.76 m during perturbed period. Specifically, GPSK, NTCMG, NEQG, BDGIM, and BDSK exhibit RMS values of 2.03, 1.67, 1.72, 1.62, and 2.36 m during quiet conditions, and 4.02, 3.17, 2.86, 3.14, and 4.44 m during perturbed conditions, respectively. Among the BIMs, NEQG demonstrates superior performance at middle and high latitudes but exhibits lower accuracy than NTCMG and BDGIM at low latitudes during daytime under quiet conditions. BDGIM performs slightly better than NTCMG at low latitudes but slightly worse at high latitudes. BDSK shows notable improvement for high‐ and mid‐latitude regions since 3 June 2020.

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Assessing GNSS ionospheric models at low latitudes: BDGIM, NeQuick-G, and Klobuchar

Setti,,

da Silva,

Alves

2024

GPS Solut

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Comparative analysis of BDGIM, NeQuick-G, and Klobuchar ionospheric broadcast models

Cited by 5 publications

References 31 publications

Regional Ionospheric Frequency Domain Characterization and Short-term Forecasting Methods

Regional Ionospheric Frequency Domain Characterization and Short-term Forecasting Methods

Investigation of the Contribution of Five Broadcast Ionospheric Models (GPSK, NTCMG, NEQG, BDGIM, and BDSK) and IRTG to GNSS Positioning During Different Solar Activities in Solar Cycle 25

Assessing GNSS ionospheric models at low latitudes: BDGIM, NeQuick-G, and Klobuchar

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