Mitigation of Ionospheric Scintillation Effects on GNSS Signals with VMD-MFDFA

Ahmed, Wasiu Akande; Wu, Falin; Marlia, Dessi; Ednofri,; Zhao, Yan

doi:10.3390/rs11232867

Cited by 9 publications

(8 citation statements)

References 31 publications

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“…For a while now, the geophysical and medical industries have used Multifractal Detrended Fluctuation Analysis (MFDFA) to identify self-similarities and long-range correlations in the signals. Research found that using VMD and MFDFA together allowed for the estimation, mitigation, and re-acquisition of GNSS signals even when ionospheric scintillation effects were intense [9].…”

Section: Variational Mode Decomposition (Vmd) and Multifractal Detren...mentioning

confidence: 99%

“…The purpose of VMD is to deal with the variational problem of signals in all its forms, build noise-free IMFs, and eliminate them. In order to address the fluctuation (variational) problem of signals caused by obstructions and atmospheric disturbances, the VMD decomposition procedure was developed [9]. A time-frequency approach known as VMD in conjunction with MFDFA was used to examine how well GNSS receivers performed when subjected to ionospheric scintillation effects.…”

Section: Variational Mode Decomposition (Vmd) and Multifractal Detren...mentioning

confidence: 99%

“…The information used was divided into synthetic (scintillated) data produced at various stages [9]. According to observation, when compared to other techniques for rectifying scintillated signals, VMD-MFDFA performance was the best and most efficient [9].…”

Section: Variational Mode Decomposition (Vmd) and Multifractal Detren...mentioning

confidence: 99%

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A Review of Multiple Techniques for Obtaining Effective Satellite Data Over the Arctic Region

Sanjana Babu

2022

IJEAST

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—For the most part because of its geographic location and auroral activity, the Arctic region is one of those that poses numerous difficulties when developing an accurate navigation system. There are a few satellites in this area, but not enough to offer precise positioning. The data is significantly degraded as a result of the auroral events, which also affect satellite signals. Continual observation of the Polar Regions from space is a significant technical challenge that is attractive to the international meteorological community. Continuous global coverage would be possible with a Geostationary Satellite Network and a Highly Elliptical Orbits (HEO) system. Practically, a small number of satellites in either Highly Elliptical Orbits (HEO) or Medium Earth Orbits (MEO) can provide continuous coverage of the polar areas. The loss of data resulting from ionospheric scintillation is examined in this work along with a number of potential remedies, including some of the many suggestions made by numerous researchers.

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Section: Variational Mode Decomposition (Vmd) and Multifractal Detren...mentioning

confidence: 99%

Section: Variational Mode Decomposition (Vmd) and Multifractal Detren...mentioning

confidence: 99%

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A Review of Multiple Techniques for Obtaining Effective Satellite Data Over the Arctic Region

Sanjana Babu

2022

IJEAST

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“…It has significant advantages in processing nonrecursive signals and not only can overcome the mode aliasing problem in EMD but also can use its own Wiener filtering characteristics to obtain a better filtering effect. VMD has received a lot of attention from researchers and has been successfully applied to many fields such as mechanical diagnosis, biomedical science, and other signal processing [18][19][20]. Although VMD obtains excellent results in signal denoising, these effects are determined by two critical parameters, namely, the number of modes K and the value of the penalty factor α, which are usually selected within a certain range.…”

Section: Introductionmentioning

confidence: 99%

A Novel Noise Suppression and Artifact Removal Method of Mechanomyography Based on RLS, IGWO-VMD, and CEEMDAN

Gao

et al. 2022

Journal of Sensors

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Mechanomyography (MMG) signals have extensive applications in muscle function assessment and human intention recognition. However, during signal acquisition, MMG signals are easily contaminated by noise and artifacts, which seriously affects the recognition of their characteristics. To address these issues, a novel noise suppression and artifact removal method based on recursive least square (RLS), improved Gray Wolf Optimizer-optimized variable mode decomposition (IGWO-VMD), and complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) is proposed. In this paper, the RLS algorithm is first applied to adaptively filter out the power line interference (PLI). Then, IGWO is designed to select the appropriate VMD parameters and use the VMD to decompose the noisy signal into band-limited intrinsic mode functions (BLIMFs). In addition, the BLIMFs are classified into the low-frequency part and high-frequency part according to the given correlation coefficient (CC) threshold value. The effective components of the low-frequency part are identified by the center frequency. Meanwhile, the high-frequency part is decomposed by CEEMDAN, and its effective components are obtained according to the proposed sample entropy threshold range. Finally, the effective components of the low and high-frequency parts are reconstructed to obtain the denoised signal to realize the extraction of useful signals. Simulation experiment results demonstrate that the proposed method outperforms the classical methods and the designed IGWO-VMD method in terms of denoising performance. The effectiveness of the proposed method is verified through the measured MMG signal experiments. The proposed method not only effectively suppresses noise and artifacts but also overcomes the limitations of VMD and CCEMDAN.

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“…8 Ionospheric scintillation is a phenomenon, which occurs in the ionosphere due to rapid fluctuation in the amplitude level, phase, and arrival angle (refractive index of the propagating medium) of the received radio waves. 9 The combined effects of ionospheric scintillation and multipath fading are of great concern as it leads to cycle slip, loss of radio communication, and increased communication errors. Ionospheric scintillation is modelled as Rician fading while multipath by Rayleigh fading.…”

mentioning

confidence: 99%

Hybrid threshold combining and maximum ratio combining model for satellite communication over composite Rayleigh and Rician fading channel

Ahmed

Agbaje

et al. 2021

Satell Commun Network

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Communication through satellite is of great task and importance especially in the world of telecommunication infrastructure. It plays a leading role for future communication systems. However, the performance of the satellite communication system is dominated by the channel conditions overwhelmed by multipath fading and ionospheric scintillation effects. Maximum ratio combining (MRC) previously used to tackle this problem is characterized with hardware complexity resulted in long processing time, while threshold combining (TC) with simple hardware display poor performance. Thus, evaluation of hybrid TC-MRC, with closed-form expression over composite Rayleigh and Rician fading channel is necessary. In this paper, TC and MRC are combined to improve the signal quality and performance. The data are modulated using M-ary quadrature amplitude modulation and transmitted over the combined effects. The received signals at varying paths are scanned to select the best paths. A mathematical expression using the probability density function of composite Rayleigh and Rician fading channel for mean integrated square error (MISE) is derived. The model is efficiently simulated and the performance is estimated. The results show that the hybrid TC-MRC model achieves lower MISE and processing time compared to threshold combiner and even maximum ratio combiner, and thereby enhance the performance of the satellite communication system.

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Mitigation of Ionospheric Scintillation Effects on GNSS Signals with VMD-MFDFA

Cited by 9 publications

References 31 publications

A Review of Multiple Techniques for Obtaining Effective Satellite Data Over the Arctic Region

A Review of Multiple Techniques for Obtaining Effective Satellite Data Over the Arctic Region

A Novel Noise Suppression and Artifact Removal Method of Mechanomyography Based on RLS, IGWO-VMD, and CEEMDAN

Hybrid threshold combining and maximum ratio combining model for satellite communication over composite Rayleigh and Rician fading channel

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