![]() Jakowski N, Mayer C, Wilken V, Hoque MM (2008) Ionospheric impact on GNSS signals. IEEE J Sel Top Signal Process 3(4):707–715 ![]() Humphreys TE, Psiaki ML, Hinks JC, O’Hanlon B, Kintner PM (2009) Simulating ionosphere-induced scintillation for testing GPS receiver phase tracking loops. Proc R Soc Lond Ser A Math Phys Eng Sci 454(1971):903–995 Huang NE, Shen Z, Long SR, Wu MC, Shih HH, Zheng Q, Yen NC, Tung CC, Liu HH (1998) The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis. Honório BCZ, de Matos MC, Vidal AC (2017) Progress on empirical mode decomposition-based techniques and its impacts on seismic attribute analysis. Han J, van der Baan M (2013) Empirical mode decomposition for seismic time-frequency analysis. Ganguly S, Jovancevic A, Brown A, Kirchner M, Zigic S, Beach T, Groves KM (2004) Ionospheric scintillation monitoring and mitigation using a software GPS receiver. IEEE Trans Signal Process 62(3):531–544įlandrin P, Rilling G, Goncalves P (2004) Empirical mode decomposition as a filter bank. J Navig 60(1):69ĭragomiretskiy K, Zosso D (2013) Variational mode decomposition. Biomed Signal Process Control 14:19–29ĭe Rezende L, De Paula E, Kantor I, Kintner P (2007) Mapping and survey of plasma bubbles over Brazilian territory. Ann Geophys Copernicus GmbH 24:3329–3341Ĭolominas MA, Schlotthauer G, Torres ME (2014) Improved complete ensemble EMD: a suitable tool for biomedical signal processing. ![]() J Navig 58(2):241Ĭervera M, Thomas R (2006) Latitudinal and temporal variation of equatorial ionospheric irregularities determined from GPS scintillation observations. Remote Sens 11(23):2867Īquino M, Moore T, Dodson A, Waugh S, Souter J, Rodrigues FS (2005) Implications of ionospheric scintillation for GNSS users in Northern Europe. In: The 7th ESA workshop on Satellite Navigation Technologies (NAVITEC 2014), Space Research and Technology Centre, European Space Agency (ESA/ESTEC), Newcastle UniversityĪhmed WA, Wu F, Marlia D, Zhao Y et al (2019) Mitigation of ionospheric scintillation effects on GNSS signals with VMD-MFDFA. Therefore, the proposed (iCEEMDAN-VMD) method is appropriate for mitigating the ionospheric scintillation effects on the GNSS signals.Īhmed A, Tiwari R, Strangeways H, Rutter N, Boussakta S (2014) GPS tracking loop performance using wavelet denoising. The major contribution of the proposed method is development of novel approaches for selection of intrinsic mode functions (IMFs) based on DFA and optimised selection of [ K, \(\)) values. The proposed method employs a detrended fluctuation analysis (DFA)-based metric for robust thresholding between the scintillation-free and amplitude scintillated GNSS signals. In this paper, we propose a novel method based on the combination of improved complete ensemble empirical mode decomposition with adaptive noise (iCEEMDAN) and variational mode decomposition (VMD) methods. Hence, it is important to develop robust methodologies for detecting and mitigating ionospheric effects on the GNSS signals. Scintillation typically has adverse effects at the tracking process and thus adversely affects the raw GNSS measurements used in a number of applications. Severe amplitude and phase scintillation induced by the ionospheric plasma density irregularities degrades the performance of global navigation satellite system (GNSS) receivers.
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