Preliminary results of scintillation monitoring at KLEF-Guntur low latitude station using GNSS software defined radio
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Venkata Ramana Gandreti
,
Venkateswara Rao Tanneeru
Abstract
Global Navigation Satellite Systems (GNSS) have become an integral part of modern life, supporting various applications, from precise positioning and navigation to timing and synchronization. However, GNSS signals are vulnerable to natural interferences including various atmospheric disturbances, with ionospheric scintillations being a significant challenge. Ionospheric scintillations, caused by irregularities in the Earth’s ionosphere, introduce rapid fluctuations in the amplitude and phase of GNSS signals. These fluctuations can severely degrade the accuracy and reliability of GNSS receivers, leading to positioning errors and navigation failures. Hence, it is crucial to develop effective mitigation strategies. One of the promising approaches to mitigate ionospheric scintillations is the utilization of Software Defined Radio (SDR) technology in GNSS receivers. SDR allows for real-time adaptation to changing signal conditions, enabling the receiver to detect scintillations and adjust its signal processing accordingly. This adaptability enhances the receiver’s stability against ionospheric disturbances, ensuring more robust and accurate positioning and navigation. In this paper, preliminary results of GNSS SDR (Make: iP-Solutions, Japan) installed at Koneru Lakshmaiah Education Foundation (KLEF), Vaddeswaram (Guntur) (16.44° N, 80.62° E) are presented. Amplitude scintillation index (S4) variations for different PRNs and subsequent positioning results are interpreted from April to September 2023. The results are compared and validated with those of the co-located Novatel GNSS receiver and NAVIC receiver. Most of the S4 variations correlate well with the S4 values from the Novatel and NAVIC receivers. S4 observations from the Septentrio receiver at Daytona Beach (Florida) are also presented. The results of SDR will be extended further for the development of scintillation mitigation algorithms. We plan to install an SDR and employ similar mitigation strategy at this location in the near future.
Funding source: All India Council for Technical Education
Award Identifier / Grant number: 8-99/FDC/RPS/POLICY-1/2021-22
Acknowledgments
The authors are also thankful to iP-Solutions, Japan for providing the GNSS SDR under the above grant of AICTE.
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Research ethics: Not applicable.
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Author contributions: The authors have accepted responsibility for the entire content of this manuscript and approved its submission.
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Competing interests: The authors state no conflict of interest.
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Research funding: This work was carried out under the project “Mitigation of Ionospheric Scintillation noise effects on Indian Satellite Navigation System (NAVIC) signals using software-defined radio GNSS receiver” (8-99/FDC/RPS/POLICY-1/2021-22) sponsored by AICTE, Govt. of India and “Development of machine learning based ionospheric scintillations forecasting algorithms using GNSS observations” (CRG/2021/004529) sponsored by the SERB, Govt. of India.
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Data availability: Not applicable.
References
1. Yousuf, M, Dashora, N, Sridhar, M, Dutta, G. Long-term impact of ionospheric scintillations on kinematic precise point positioning: seasonal and solar activity dependence over Indian low latitudes. GPS Solut 2023;27:40. https://doi.org/10.1007/s10291-022-01378-1.Search in Google Scholar
2. Li, C, Hancock, CM, Veettil, SV, Zhao, D, Hamm, NA. Mitigating the scintillation effect on GNSS signals using MP and ROTI. Rem Sens 2022;14:6089. https://doi.org/10.3390/rs14236089.Search in Google Scholar
3. Mrak, S, Semeter, J, Nishimura, Y, Rodrigues, FS, Coster, AJ, Groves, K. Leveraging geodetic GPS receivers for ionospheric scintillation science. Radio Sci 2020;55:1–7. https://doi.org/10.1029/2020rs007131.Search in Google Scholar
4. Veettil, SV, Aquino, M, Marques, HA, Moraes, A. Mitigation of ionospheric scintillation effects on GNSS precise point positioning (PPP) at low latitudes. J Geodesy 2020;94:15. https://doi.org/10.1007/s00190-020-01345-z.Search in Google Scholar
5. Luo, X, Lou, Y, Gu, S, Song, W. A strategy to mitigate the ionospheric scintillation effects on BDS precise point positioning: cycle-slip threshold model. Rem Sens 2019;11:2551. https://doi.org/10.3390/rs11212551.Search in Google Scholar
6. Valls, JV, Closas, P, Prades, CF, Curran, JT. On the mitigation of ionospheric scintillation in advanced GNSS receivers. IEEE Trans Aero Electron Syst 2018;54:1692–708. https://doi.org/10.1109/taes.2018.2798480.Search in Google Scholar
7. Sivavaraprasad, G, Padmaja, RS, Ratnam, DV. Mitigation of ionospheric scintillation effects on GNSS signals using variational mode decomposition. Geosci Rem Sens Lett IEEE 2017;14:389–93. https://doi.org/10.1109/lgrs.2016.2644723.Search in Google Scholar
8. Tadivaka, RV, Paruchuri, BP, Miriyala, S, Koppireddi, PR, Devanaboyina, VR. Detection of ionospheric scintillation effects using LMD–DFA. Acta Geophys 2017;65:777–84. https://doi.org/10.1007/s11600-017-0058-1.Search in Google Scholar
9. Liu, H, Ren, X, Zhang, X, Mei, D, Yang, P. Investigating the effects of ionospheric scintillation on multi-frequency BDS-2/BDS-3 signals at low latitudes. Space Weather 2023;21:e2022SW003362. https://doi.org/10.1029/2022sw003362.Search in Google Scholar
10. Salles, LA, Vani, BC, Moraes, A, Costa, E, de Paula, ER. Investigating ionospheric scintillation effects on multifrequency GPS signals. Surv Geophys 2021;42:999–1025. https://doi.org/10.1007/s10712-021-09643-7.Search in Google Scholar
11. Yang, Z, Morton, YJ. Low-latitude GNSS ionospheric scintillation dependence on magnetic field orientation and impacts on positioning. J Geodesy 2020;94:59. https://doi.org/10.1007/s00190-020-01391-7.Search in Google Scholar
12. Sahithi, K, Sridhar, M, Kotamraju, SK, Kavya, KC, Sivavaraprasad, G, Ratnam, DV, et al.. Characteristics of ionospheric scintillation climatology over Indian low-latitude region during the 24th solar maximum period. Geodesy Geodyn. 2019;10:110–7. https://doi.org/10.1016/j.geog.2018.11.006.Search in Google Scholar
13. Sridhar, M, Raju, KP, Rao, CS, Ratnam, DV. Mitigation of ionospheric scintillations for GPS signals under geomagnetic storm conditions using LMS adaptive filter. Int J Inf Commun Technol 2016;9:389–407. https://doi.org/10.1504/ijict.2016.10000495.Search in Google Scholar
14. Cristodaro, C, Dovis, F, Linty, N, Romero, R. Design of a configurable monitoring station for scintillations by means of a GNSS software radio receiver. Geosci Rem Sens Lett IEEE 2018;15:325–9. https://doi.org/10.1109/lgrs.2017.2778938.Search in Google Scholar
15. Jiao, Y, Hall, JJ, Morton, YT. Automatic equatorial GPS amplitude scintillation detection using a machine learning algorithm. IEEE Trans Aero Electron Syst 2017;53:405–18. https://doi.org/10.1109/taes.2017.2650758.Search in Google Scholar
16. Kumar, BP, Paidimarry, CS. Improved real time GPS RF data capturing for GNSS SDR applications. Gyroscopy Navig. 2020;11:59–67. https://doi.org/10.1134/s2075108720010083.Search in Google Scholar
17. Ghobadi, H, Savas, C, Spogli, L, Dovis, F, Cicone, A, Cafaro, M. A comparative study of different phase detrending algorithms for scintillation monitoring. In: 2020 XXXIIIrd general assembly and scientific symposium of the international union of radio science. IEEE; 2020:1–4 pp.10.23919/URSIGASS49373.2020.9232349Search in Google Scholar
18. Linty, N, Dovis, F. An open-loop receiver architecture for monitoring of ionospheric scintillations by means of GNSS signals. Appl Sci 2019;9:2482. https://doi.org/10.3390/app9122482.Search in Google Scholar
19. Sethi, HS, Dashora, N. Automated power spectrum analysis of low-latitude ionospheric scintillations recorded using software GNSS receiver. GPS Solut 2020;24:33. https://doi.org/10.1007/s10291-019-0945-9.Search in Google Scholar
20. Dey, A, Singh, P, Sharma, N, Xu, B, Hsu, LT. Performance improvement and assessment of NavIC software receiver. In: 2022 IEEE international conference on advanced networks and telecommunications systems (ANTS). IEEE; 2022:338–43 pp.10.1109/ANTS56424.2022.10227725Search in Google Scholar
21. Linty, N, Dovis, F, Alfonsi, L. Software-defined radio technology for GNSS scintillation analysis: bring antarctica to the lab. GPS Solut 2018;22:96. https://doi.org/10.1007/s10291-018-0761-7.Search in Google Scholar
22. Lin, M, Zhu, X, Hua, T, Tang, X, Tu, G, Chen, X. Detection of ionospheric scintillation based on XGBOOST model improved by SMOTE-ENN technique. Rem Sens 2021;13:2577. https://doi.org/10.3390/rs13132577.Search in Google Scholar
23. Van Dierendonck, AJ, Klobuchar, J, Hua, Q. Ionospheric scintillation monitoring using commercial single frequency C/A code receivers. In: Proceedings of ION GPS; 1993, vol 93:1333–42 pp.Search in Google Scholar
24. Matsuoka, MT, Camargo, PO. Determination of TEC using GPS data from dual frequency receivers for the production of ionosphere maps to Brazil. Rev Bras Cartogr 2004;1:14–27.Search in Google Scholar
25. Skone, S. Variations in point positioning accuracies for single frequency GPS users during solar maximum. Geomatica 2002;56:131–40.Search in Google Scholar
26. dos Santos Prol, F, de Oliveira Camargo, P. Review of tomographic reconstruction methods of the ionosphere using GNSS. Braz J Geophys 2015;33:445–59. https://doi.org/10.22564/rbgf.v33i3.947.Search in Google Scholar
27. Prol, FD, Camargo, PD. Ionospheric tomography using GNSS: multiplicative algebraic reconstruction technique applied to the area of Brazil. GPS Solut 2016;20:807–14. https://doi.org/10.1007/s10291-015-0490-0.Search in Google Scholar
28. Tanna, HJ, Karia, SP, Pathak, KN. A study of L band scintillations during the initial phase of rising solar activity at an Indian low latitude station. Adv Space Res 2013;52:412–21. https://doi.org/10.1016/j.asr.2013.03.022.Search in Google Scholar
29. Rao, PVR, Krishna, SG, Niranjan, K, Prasad, DS. Study of spatial and temporal characteristics of L-band scintillations over the Indian low-latitude region and their possible effects on GPS navigation. Ann Geophys 2006;24:1567–80. https://doi.org/10.5194/angeo-24-1567-2006.Search in Google Scholar
30. Harsha, PBS, Ratnam, DV, Nagasri, ML, Sridhar, M, Raju, KP. Kriging-based ionospheric TEC, ROTI and amplitude scintillation index (S4) maps for India. IET Radar Sonar Navig 2020;14:1827–36.10.1049/iet-rsn.2020.0202Search in Google Scholar
© 2024 Walter de Gruyter GmbH, Berlin/Boston
Articles in the same Issue
- Frontmatter
- Special Issue on Uncertainty and Quality of Multi-Sensor Systems; Guest Editor: Volker Schwieger
- Improving the approximation quality of tensor product B-spline surfaces by local parameterization
- Development of GPS time-based reference trajectories for quality assessment of multi-sensor systems
- PointNet-based modeling of systematic distance deviations for improved TLS accuracy
- Empirical uncertainty evaluation for the pose of a kinematic LiDAR-based multi-sensor system
- Guest Editorial
- Uncertainty and quality of multi-sensor systems
- Original Research Articles
- Coseismic slip model of the 14 January 2021 Mw 6.2 Mamuju-Majene earthquake based on static and kinematic GNSS solution
- Simulation of range code tracking loop for multipath mitigation in NavIC receiver
- Exploring ionospheric dynamics: a comprehensive analysis of GNSS TEC estimations during the solar phases using linear function model
- A new approach of multi-dimensional correlation as a separability measure of multiple outliers in GNSS applications
- Preliminary results of scintillation monitoring at KLEF-Guntur low latitude station using GNSS software defined radio
- Evaluating the single-frequency static precise point positioning accuracies from multi-constellation GNSS observations at an Indian low-latitude station
- Analysis of ionospheric anomalies before the Fukushima Mw 7.3 earthquake of March 16, 2022
- Geomagnetic storm effect on equatorial ionosphere over Sri Lanka through total electron content observations from continuously operating reference stations network during Mar–Apr 2022
Articles in the same Issue
- Frontmatter
- Special Issue on Uncertainty and Quality of Multi-Sensor Systems; Guest Editor: Volker Schwieger
- Improving the approximation quality of tensor product B-spline surfaces by local parameterization
- Development of GPS time-based reference trajectories for quality assessment of multi-sensor systems
- PointNet-based modeling of systematic distance deviations for improved TLS accuracy
- Empirical uncertainty evaluation for the pose of a kinematic LiDAR-based multi-sensor system
- Guest Editorial
- Uncertainty and quality of multi-sensor systems
- Original Research Articles
- Coseismic slip model of the 14 January 2021 Mw 6.2 Mamuju-Majene earthquake based on static and kinematic GNSS solution
- Simulation of range code tracking loop for multipath mitigation in NavIC receiver
- Exploring ionospheric dynamics: a comprehensive analysis of GNSS TEC estimations during the solar phases using linear function model
- A new approach of multi-dimensional correlation as a separability measure of multiple outliers in GNSS applications
- Preliminary results of scintillation monitoring at KLEF-Guntur low latitude station using GNSS software defined radio
- Evaluating the single-frequency static precise point positioning accuracies from multi-constellation GNSS observations at an Indian low-latitude station
- Analysis of ionospheric anomalies before the Fukushima Mw 7.3 earthquake of March 16, 2022
- Geomagnetic storm effect on equatorial ionosphere over Sri Lanka through total electron content observations from continuously operating reference stations network during Mar–Apr 2022
