Abstract
Radio Frequency Interference (RFI) makes it very difficult for Global Navigation Satellite Systems (GNSS) signals to work properly and remains safe. This makes positioning less accurate and reliable. This study looks at the current methods for finding and reducing RFI, with a focus on the IRNSS S-band and L5-band, because it covers the whole world. In this, how the chirp interference affects signal tracking by measuring the Carrier-to-Noise Ratio (C/N 0) using in-phase and quadrature-phase correlator outputs under both statistical and estimated settings. The narrowband-wideband power ratio (NWPR) approach boosts effective C/N 0 by 11.37 dB-Hz for the S-band signal and 12.48 dB-Hz for the L5-band signal, and compares it to the statistical C/N 0 value and the Signal to Noise variance estimator C/N 0.
Acknowledgments
We are grateful to Dr. D. Venkata Ratnam, M.Tech., Ph.D, Professor and Head – Research, Department of Electronics & Communication Engineering, School of Electrical Sciences, KL Deemed to be University, Andhra Pradesh, INDIA, for his valuable guidance and insightful discussions on radiosonde data analysis.
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Research ethics: Not applicable.
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Informed consent: Not applicable.
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Author contributions: All authors have accepted responsibility for the entire content of this manuscript and approved its submission.
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Use of Large Language Models, AI and Machine Learning Tools: None declared.
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Conflict of interest: The authors state no conflict of interest.
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Research funding: None declared.
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Data availability: Not applicable.
References
1. Adebayo, SA, Ibraheem, AA. A review of global navigation satellite systems (GNSS) and its applications. Int J Sci Eng Res 2021;12:1042–9.Suche in Google Scholar
2. Mukesh, R, Karthikeyan, V, Soma, P, Sindhu, P. Analysis of signal strength, satellite visibility, position accuracy and ionospheric TEC estimation of IRNSS. Astrophys Space Sci 2019;364:196. https://doi.org/10.1007/s10509-019-3676-z.Suche in Google Scholar
3. Swamy, KCT, Devanaboyina, VR, Nallagarla, R, Shaik, TA, Turpati, S. Correlation between rate of TEC index and positioning error during solar flares and geomagnetic storms using navigation with Indian constellation receiver measurements. J Appl Geodesy 2025;19:49–58. https://doi.org/10.1515/jag-2024-0022.Suche in Google Scholar
4. Mukesh, R, Karthikeyan, V, Soma, P, Sindhu, P, Elangovan, RR. Performance analysis of navigation with Indian constellation satellites. J King Saud Univ Eng Sci 2020;32:518–23. https://doi.org/10.1016/j.jksues.2019.06.002.Suche in Google Scholar
5. Garcia-Pena, A, Novella, G, Macabiau, C. C/N0 degradation in presence of chirp interference: statistical, real and estimated C/N0. GPS Solut 2024;28:197. https://doi.org/10.1007/s10291-024-01740-5.Suche in Google Scholar
6. Jardak, N. Chirp interference mitigation in GNSS systems using chirp parameter estimation and pulse blanking. IEEE Access 2024;12:181617–31. https://doi.org/10.1109/access.2024.3509262.Suche in Google Scholar
7. Savasta, S, Lo Presti, L, Rao, M. Interference mitigation in GNSS receivers by a time-frequency approach. IEEE Trans Aerosp Electron Syst 2013;49:415–38. https://doi.org/10.1109/taes.2013.6404112.Suche in Google Scholar
8. Wang, P, Wang, Y, Cetin, E, Dempster, AG, Wu, S. Time-frequency jammer mitigation based on Kalman filter for GNSS receivers. IEEE Trans Aerosp Electron Syst 2019;55:1561–7. https://doi.org/10.1109/taes.2018.2869507.Suche in Google Scholar
9. Qin, W, Gamba, MT, Falletti, E, Dovis, F. An assessment of impact of adaptive notch filters for interference removal on the signal processing stages of a GNSS receiver. IEEE Trans Aerosp Electron Syst 2020;56:4067–82. https://doi.org/10.1109/taes.2020.2990148.Suche in Google Scholar
10. Borio, D, Gioia, C. Interference mitigation: impact on GNSS timing. GPS Solut 2021;25:37. https://doi.org/10.1007/s10291-020-01075-x.Suche in Google Scholar
11. Borio, D, Gioia, C. GNSS interference mitigation: a measurement and position domain assessment. J Inst Navig 2021;68:93–114. https://doi.org/10.1002/navi.391.Suche in Google Scholar
12. Novella, G, Garcia-Pena, A, Macabiau, C. C/N0 degradation in presence of chirp interference: theoretical model. GPS Solut 2024;28:161. https://doi.org/10.1007/s10291-024-01688-6.Suche in Google Scholar
13. Falletti, E, Pini, M, Presti, LL. Low complexity carrier-to-noise ratio estimators for GNSS digital receivers. IEEE Trans Aerosp Electron Syst 2011;47:420–37. https://doi.org/10.1109/taes.2011.5705684.Suche in Google Scholar
14. Sophan, S, Supnithi, P, Myint, LMM, Budtho, J, Saito, S. Statistical analysis and effects of radio frequency interference in GPS signal quality in Thailand. GPS Solut 2024;28:194. https://doi.org/10.1007/s10291-024-01731-6.Suche in Google Scholar
15. Swamy, KCT, Sarma, AD, Supraja Reddy, A, Satya Srinivas, V, Somasekhar Rao, PVD. Modelling of GPS signal scintillations with polynomial coefficients over the Indian region. Indian J Radio Space Phys 2013:167–74.Suche in Google Scholar
16. Dan, S, Chatterjee, S, Mandal, R, Koley, C, Bose, A. Compact, low-cost GNSS modules for efficient ionospheric probing: a case study from India during amplitude scintillation events of autumnal equinox 2022. GPS Solut 2025;29:39. https://doi.org/10.1007/s10291-024-01798-1.Suche in Google Scholar
17. Swamy, KCT, Venkata Ratnam, D, Suman, T, Towseef Ahmed, S. Time-differenced double difference method for measurement of navigation with Indian constellation (NavIC) receiver differential phase bias. Measurement 2023;207:112385. https://doi.org/10.1016/j.measurement.2022.112385.Suche in Google Scholar
18. Naraiah Rairala, P, Naveen Kumar, P, Praveena, K, Chandra Shekar, G. Analysis of position accuracy of NavIC satellites – preliminary results. In: International conference for emerging technology (INCET); 2020:1–3 pp.10.1109/INCET49848.2020.9154106Suche in Google Scholar
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