Research article Special Issues

Applicability of NeQuick G ionospheric model for single-frequency GNSS users over India

  • Received: 01 November 2021 Revised: 09 December 2021 Accepted: 28 January 2022 Published: 09 February 2022
  • The major source of error in the positioning of GNSS is from the region of Ionosphere. The single-frequency GNSS receiver cannot eliminate the ionospheric error due to dispersive medium and frequency-dependent. The low-cost GNSS receivers are highly dependent on single-frequency approaches of Ionosphere region popularly known as Klobuchar, NeQuick G, and BDS2 methods to estimate the data of position, velocity and time. The regional satellite navigation system of India, known as Navigation with Indian Constellation (NavIC) adopted ionospheric models based on single-frequency namely, Klobuchar and grid-based correction models. The Klobuchar modelos accuracy is less for predicting ionospheric delays in low latitude regions like India under Equatorial Ionization Anomaly (EIA) conditions. In this paper, the NeQuick G modelos applicability for NavIC users over the Indian region is investigated. NeQuick G modelos performance is validated with dense GPS TEC network data of 26 stations spread across India and IRI-2016 model, during 2014, 2015 and 2016. The predicted TEC results indicate that EIA structures are well captured by NeQuick G and IRI-2016 models. The results indicate that both NeQuick G and IRI-2016 models well predict season asymmetry and decrease of TEC intensity due to descending phase solar cycle activity. It is found that NeQuick G is one of the contenders of single frequency ionospheric models for GNSS/NavIC users in India.

    Citation: K Siri Lakshatha, D Venkata Ratnam, K Sivakrishna. Applicability of NeQuick G ionospheric model for single-frequency GNSS users over India[J]. AIMS Geosciences, 2022, 8(1): 127-136. doi: 10.3934/geosci.2022008

    Related Papers:

  • The major source of error in the positioning of GNSS is from the region of Ionosphere. The single-frequency GNSS receiver cannot eliminate the ionospheric error due to dispersive medium and frequency-dependent. The low-cost GNSS receivers are highly dependent on single-frequency approaches of Ionosphere region popularly known as Klobuchar, NeQuick G, and BDS2 methods to estimate the data of position, velocity and time. The regional satellite navigation system of India, known as Navigation with Indian Constellation (NavIC) adopted ionospheric models based on single-frequency namely, Klobuchar and grid-based correction models. The Klobuchar modelos accuracy is less for predicting ionospheric delays in low latitude regions like India under Equatorial Ionization Anomaly (EIA) conditions. In this paper, the NeQuick G modelos applicability for NavIC users over the Indian region is investigated. NeQuick G modelos performance is validated with dense GPS TEC network data of 26 stations spread across India and IRI-2016 model, during 2014, 2015 and 2016. The predicted TEC results indicate that EIA structures are well captured by NeQuick G and IRI-2016 models. The results indicate that both NeQuick G and IRI-2016 models well predict season asymmetry and decrease of TEC intensity due to descending phase solar cycle activity. It is found that NeQuick G is one of the contenders of single frequency ionospheric models for GNSS/NavIC users in India.



    加载中


    [1] Chekole DA, Giday NM, Nigussie M (2019) Performance of NeQuick-2, IRI-Plas 2017 and GIM models over Ethiopia during varying solar activity periods. J Atmos Sol-Terr Phys 195: 105117. https://doi.org/10.1016/j.jastp.2019.105117 doi: 10.1016/j.jastp.2019.105117
    [2] Panda SK, Gedam SS, Jin S (2015) Ionospheric TEC variations at low latitude Indian region. In Jin S, eds. Satellite Positioning-Methods, Models and Applications. Tech-Publisher, Rijeka, Croatia, 149–174. https://doi.org/10.5772/59988
    [3] Appleton EV (1946) Two anomalies in the ionosphere. Nature 157: 691. https://doi.org/10.1038/157691a0 doi: 10.1038/157691a0
    [4] Desai MV, Shah SN (2018) The GIVE ionospheric delay correction approach to improve positional accuracy of NavIC/IRNSS single-frequency receiver. Curr Sci 114: 1665–1676. https://doi.org/10.18520/cs/v114/i08/1665-1676 doi: 10.18520/cs/v114/i08/1665-1676
    [5] Gulyaeva TL, Huang X, Reinisch BW (2002) Plasmaspheric extension of topside electron density profiles. Adv Space Res 29: 825–831. https://doi.org/10.1016/S0273-1177(02)00038-8 doi: 10.1016/S0273-1177(02)00038-8
    [6] Gordiyenko GI, Maltseva OA, Arikan F, et al. (2018) The performance of the IRI-Plas model as compared with Alouette II and GIM-TEC data over the midlatitude station Alma-Ata. J Atmos Sol-Terr Phys 179: 504–516. https://doi.org/10.1016/j.jastp.2018.08.007 doi: 10.1016/j.jastp.2018.08.007
    [7] Zakharenkova IE, Cherniak IV, Krankowski A, et al. (2015) Vertical TEC representation by IRI 2012 and IRI Plas models for European midlatitudes. Adv Space Res 55: 2070–2076. https://doi.org/10.1016/j.asr.2014.07.027 doi: 10.1016/j.asr.2014.07.027
    [8] Adebiyi SJ, Adimula IA, Oladipo OA, et al. (2016) Assessment of IRI and IRI‐Plas models over the African equatorial and low‐latitude region. J Geophys Res Space Phys 121: 7287–7300. https://doi.org/10.1002/2016JA022697 doi: 10.1002/2016JA022697
    [9] Ezquer RG, Scidá LA, Orué YM, et al. (2018) NeQuick 2 and IRI Plas VTEC predictions for low latitude and South American sector. Adv Space Res 61: 1803–1818. https://doi.org/10.1016/j.asr.2017.10.003 doi: 10.1016/j.asr.2017.10.003
    [10] Atici R (2018) Comparison of GPS TEC with modelled values from IRI 2016 and IRI-PLAS over Istanbul, Turkey. Astrophys Space Sci 363: 231. https://doi.org/10.1007/s10509-018-3457-0 doi: 10.1007/s10509-018-3457-0
    [11] Filjar R, Weintrit A, Iliev TB, et al. (2020) Predictive Model of Total Electron Content during Moderately Disturbed Geomagnetic Conditions for GNSS Positioning Performance Improvement. In 2020 IEEE 23rd International Conference on Information Fusion (FUSION), 1–6. https://doi.org/10.23919/FUSION45008.2020.9190264
    [12] Mallika IL, Ratnam DV, Raman S, et al. (2020) A New Ionospheric Model for Single Frequency GNSS User Applications Using Klobuchar Model Driven by Auto Regressive Moving Average (SAKARMA) Method Over Indian Region. IEEE Access 8: 54535–54553. https://doi.org/10.1109/ACCESS.2020.2981365 doi: 10.1109/ACCESS.2020.2981365
    [13] Di Giovanni G, Radicella SM (1990) An analytical model of the electron density profile in the ionosphere. Adv Space Res 10: 27–30. https://doi.org/10.1016/0273-1177(90)90301-F doi: 10.1016/0273-1177(90)90301-F
    [14] Farah A (2008) Comparison of GPS/Galileo single frequency ionospheric models with vertical TEC maps. Artif Satell 43: 75–90. https://doi.org/10.2478/v10018-009-0008-5 doi: 10.2478/v10018-009-0008-5
    [15] Radicella SM, Zhang ML (1995) The improved DGR analytical model of electron density height profile and total electron content in the ionosphere. Ann Geophys 25: 35–41. https://doi.org/10.4401/ag-4130 doi: 10.4401/ag-4130
    [16] Fedrizzi M, de Paula ER, Kantor IJ, et al. (2002) Mapping the low-latitude ionosphere with GPS. GPS World 13: 41–47.
    [17] Krishna KS, Ratnam DV, Sridhar M, et al. (2020) Performance Evaluation of Adjusted Spherical Harmonics Ionospheric Model Over Indian Region. IEEE Access 8: 172610–172622. https://doi.org/10.1109/ACCESS.2020.3024920 doi: 10.1109/ACCESS.2020.3024920
    [18] Sikirica N, Dimc F, Jukic O, et al. (2021) A Risk Assessment of Geomagnetic Conditions Impact on GPS Positioning Accuracy Degradation in Tropical Regions Using Dst Index. In Proceedings of the 2021 International Technical Meeting of The Institute of Navigation, 606–615. https://doi.org/10.33012/2021.17852
    [19] Montenbruck O, González Rodríguez B (2020) NeQuick-G performance assessment for space applications. GPS Solut 24: 1–12. https://doi.org/10.1007/s10291-019-0931-2 doi: 10.1007/s10291-019-0931-2
  • Reader Comments
  • © 2022 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Metrics

Article views(1250) PDF downloads(83) Cited by(0)

Article outline

Figures and Tables

Figures(3)  /  Tables(1)

Other Articles By Authors

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return

Catalog