Issue
J. Space Weather Space Clim.
Volume 7, 2017
Space weather effects on GNSS and their mitigation
Article Number A26
Number of page(s) 14
DOI https://doi.org/10.1051/swsc/2017020
Published online 24 October 2017
  • Akaike H. 1974. A new look at the statistical identification model. IEEE Trans Automatic Control 19(6): 716–723. [NASA ADS] [CrossRef] [MathSciNet] [Google Scholar]
  • Amin MG, Closas P, Broumandan A, Volakis JL. 2016. Vulnerabilities, threats, and authentication in satellite-based navigation systems [scanning the issue]. Proc IEEE 104(6): 1169–1173. [CrossRef] [Google Scholar]
  • Anderson B, Moore JB. 1979. Optimal filtering. Englewood Cliffs, New Jersey, USA: Prentice-Hall. [Google Scholar]
  • Banville S, Langley RB. 2013. Mitigating the impact of ionospheric cycle slips in GNSS observations. J Geodesy 87(2): 179–193 [CrossRef] [Google Scholar]
  • Banville S, Langley RB, Saito S, Yoshihara T. 2010. Handling cycle slips in GPS data during ionospheric plasma bubble events. Radio Science 45(6): 1–15, RS6007, DOI:10.1029/2010RS004415. [CrossRef] [EDP Sciences] [Google Scholar]
  • Carrano CS, Groves KM, McNeil WJ, Doherty PH. 2012. Scintillation Characteristics across the GPS Frequency Band. In: Proceedings of the 25th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS 2012), Nashville, TN, USA, September 17–21, pp. 1972–1989. [Google Scholar]
  • Chiou T-Y. Design of a Doppler-aided GPS navigation system for weak signals caused by strong ionospheric scintillation, Ph.D. thesis, Stanford, 2010 [Google Scholar]
  • Curran JT, Bavaro M, Morrison A, Fortuny J. 2015a. Event identification & recording for scintillation monitoring stations. In: Proceedings ofthe 2015 International Technical Meeting of The Institute of Navigation, Dana Point, CA, USA, January 2015, pp. 114–122. [Google Scholar]
  • Curran JT, Bavaro M, Morrison A, Fortuny J. 2015b. Operating a network of multi-frequency software-defined ionosphere monitoring receivers. In: Proc. of the 28th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2015), Tampa, FL, USA, September 14–18, pp. 3469–3479 [Google Scholar]
  • Dardari D, Closas P, Djurić PM. 2015. Indoor tracking: Theory, methods, and technologies. IEEE Trans Veh Technol 64(4): 1263–1278. [CrossRef] [Google Scholar]
  • Humphreys TE, Psiaki ML, Kintner PM. 2010. Modeling the effects of ionospheric scintillation on GPS carrier phase tracking. IEEE Trans Aerosp Electron Syst 46(4): 1624–1637. [CrossRef] [Google Scholar]
  • Humphreys TE, et al. 2005. GPS carrier tracking loop performance in the presence of ionospheric scintillations. In: Proc. of the 18th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS 2005), Long Beach, CA, USA, September 13–16, pp. 156–167. [Google Scholar]
  • Humphreys TE, et al. 2009. Simulating ionosphere-induced scintillation for testing GPS receiver phase tracking loops. IEEE J Select Top Signal Process 3(4): 707–715. [CrossRef] [Google Scholar]
  • Jacobsen KS, Dähnn M. 2014. Statistics of ionospheric disturbances and their correlation with GNSS positioning errors at high latitudes. J Space Weather Space Clim, 4: A27, doi:10.1051/swsc/2014024. [CrossRef] [EDP Sciences] [Google Scholar]
  • Jiao Y, Xu D, Morton Y, Rino C. 2016. Equatorial scintillation amplitude fading characteristics across the GPS frequency bands. NAVIGATION J Inst Navig 63(3): 267–281. [CrossRef] [Google Scholar]
  • Kaplan ED, ed. 2006. Understanding GPS: principles and applications, 2nd edn. Artech House. [Google Scholar]
  • Kintner PM, Humphreys TE, Hinks J. 2009. GNSS and ionospheric scintillation. How to survive the next solar maximum. Inside GNSS 22–33, [Google Scholar]
  • López-Salcedo J, Peral-Rosado J, Seco-Granados G. 2014. Survey on robust carrier tracking techniques. IEEE Commun Surv Tutor 16(2): 670–688. [CrossRef] [Google Scholar]
  • Macabiau C, et al. 2012. Kalman filter based robust GNSS signal tracking algorithm in presence of ionospheric scintillations. In: Proceedings of the 25th International Technical Meeting of The Satellite Division of the Institute of Navigation (ION GNSS 2012). Nashville, TN, USA, September 17–21, 3420–3434. [Google Scholar]
  • Neumaier A, Schneider T. 2001. Estimation of parameters and eigenmodes of multivariate autoregressive models. ACM Trans Math Softw 27(1): 27–57. [CrossRef] [Google Scholar]
  • Prikryl P, Jayachandran PT, Mushini SC, Richardson IG. 2014. High-latitude GPS phase scintillation and cycle slips during high-speed solar wind streams and interplanetary coronal mass ejections: a superposed epoch analysis. Earth Planets Space 66(1): 1–10. [CrossRef] [EDP Sciences] [PubMed] [Google Scholar]
  • Schlögl A. 2006. A comparison of multivariate autoregressive estimators. Signal Process 86: 2426–2429. [CrossRef] [Google Scholar]
  • Schneider T, Neumaier A. 2001 Algorithm 808: ARfit – a MATLAB package for the estimation of parameters and eigenmodes of multivariate autoregressive models. ACM Trans Math Softw 27(1): 58–65. [CrossRef] [Google Scholar]
  • Schwarz G. 1978. Estimating the dimension of a model. Ann Stat 6(2): 461–464. [NASA ADS] [CrossRef] [MathSciNet] [Google Scholar]
  • Skone G, Lachapelle G, Yao D, Yu W, Watson R. 2005. Investigating the impact of ionospheric scintillation using a GPS software receiver. In: Proc. of the 18th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS 2005), Long Beach, CA, September 13–16, pp. 1126–1137. [Google Scholar]
  • Sokolova N, Morrison A, Curran JT. 2015. High latitude phase scintillation decorrelation across GNSS frequencies - exploring the impact of scintillation on multi-frequency users. Eur J Navigat 13(3): 45–51. [Google Scholar]
  • Spilker JJ. 1996. Fundamentals of signal tracking theory. In: Parkinson BW, Spilker JJ, eds. Global positioning system: theory and applications, Vol. I. American Institute of Aeronautics and Astronautics, pp. 245–328. [CrossRef] [Google Scholar]
  • Stoica P, Selen Y. 2004. Model-order selection: a review of information criterion rules. IEEE Signal Process Mag 21(4): 36–47. [NASA ADS] [CrossRef] [Google Scholar]
  • Vilà-Valls J, Closas P, Curran JT. 2017a. Performance analysis of multi-frequency GNSS carrier tracking for strong ionospheric scintillation mitigation. In: Proceedings of the 25th European Signal Processing Conference (EUSIPCO’17), Kos Island, Greece, August 28 to September 2. [Google Scholar]
  • Vilà-Valls J, Closas P, Fernández-Prades C. 2015a. Advanced KF-based methods for GNSS carrier tracking and ionospheric scintillation mitigation. In: Proceedings of the IEEE Aerospace Conference, Big Sky, MT, USA, March 7–14. [Google Scholar]
  • Vilà-Valls J, Closas P, Fernández-Prades C, Lopez-Salcedo JA, Seco-Granados G. 2015b. Adaptive GNSS Carrier Tracking under Ionospheric Scintillation: estimation vs mitigation. IEEE Comm Lett 19(6): 961–964. [CrossRef] [Google Scholar]
  • Vilà-Valls J, Closas P, Navarro M, Fernández-Prades C. 2017b. Are PLLs dead? a tutorial on kalman filter-based techniques for digital carrier synchronization. IEEE Aerosp Electron Syst Mag. [Google Scholar]
  • Vilà-Valls J, Lopez-Salcedo JA, Seco-Granados G. 2013. An interactive multiple model approach for robust GNSS carrier phase tracking under scintillation conditions. In: Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Vancouver, BC, Canada, May 26–31. [Google Scholar]
  • Won JH. 2014. A novel adaptive digital phase-lock-loop for modern digital GNSS receivers. IEEE Comm Lett 18(1): 46–49. [CrossRef] [Google Scholar]
  • Won J-H, Eissfeller B, Pany T, Winkel J. 2012. Advancedsignal processing scheme for GNSS receivers under ionospheric scintillation. In: Proceedings of the IEEE/ION Position Location and Navigation Symposium (PLANS), Myrtle Beach, CA, USA, April 23–26, pp. 44–49. [CrossRef] [Google Scholar]
  • Yu W, Lachapelle G, Skone S. 2006. PLL performance for signalsin the presence of thermal noise, phase noise, and ionospheric scintillation. In: Proceedings of the 19th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS 2006), Fort Worth, TX, USA, September 26–29, pp. 1341–1357. [EDP Sciences] [Google Scholar]
  • Zhang L, Morton YT, Miller MM. 2010. A variable gain adaptive Kalman filter-based GPS carrier tracking algorithms for ionosphere scintillation signals. In: Proceedings of the 23rd International Technical Meeting of The Satellite Division of the Institute of Navigation (ION GNSS 2010), Portland, OR, USA, September 21–24, pp. 3107–3114. [Google Scholar]

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