Complexity and Nonlinear Dependence of Ionospheric Electron Content and Doppler Frequency Shifts in Propagating HF Radio Signals within Equatorial Regions

Author:

Akerele Aderonke12ORCID,Rabiu Babatunde12ORCID,Ogunjo Samuel3ORCID,Okoh Daniel14ORCID,Kascheyev Anton5,Nava Bruno6,Bolaji Olawale27,Fuwape Ibiyinka38,Oyeyemi Elijah7,Olugbon Busola7,Akinpelu Jacob2ORCID,Ajani Olumide2ORCID

Affiliation:

1. United Nations African Regional Centre for Space Science Technology and Education—English, (UN-ARCSSTE-E), Obafemi Awolowo University Campus, Ile-Ife 220282, Nigeria

2. Department of Physics and Solar Energy, Bowen University, P.M.B 284, Iwo 232101, Nigeria

3. Department of Physics, Federal University of Technology Akure, P.M.B 704, Akure 340110, Nigeria

4. Istituto Nazionale Geofisica e Vulcanologia (INGV), Via di Vigna Murata, 605, 00143 Roma, RM, Italy

5. Physics Department, University of New Brunswick, Fredericton, NB E3B 5A3, Canada

6. The Abdus Salam International Centre for Theoretical Physics, Strada Costiera, 11, 34151 Trieste, TS, Italy

7. Department of Physics, University of Lagos, Akoka, Yaba, Lagos 101017, Nigeria

8. Office of the Vice Chancellor, Michael and Cecilia Ibru University, Ughelli 333106, Nigeria

Abstract

The abundance of ions within the ionosphere makes it an important region for both long range and satellite communication systems. However, characterizing the complexity in the ionosphere within the equatorial region of Abuja, with geographic coordinates of 8.99° N and 7.39° E and a geomagnetic latitude of −1.60, and Lagos, with geographic coordinates of 3.27° E and 6.48° N and a dip latitude of −1.72°, is a challenging and daunting task due to the intrinsic and external forces involved. In this study, chaos theory was applied on data from both an HF Doppler sounding system and the Global Navigation Satellite System (GNSS) for the characterization of the ionosphere over these two tropical locations during 2020–2021 with respect to the quality of high-frequency radio signals between the two locations. Our results suggest that the ionosphere at the two locations is chaotic, with its largest Lyapunov exponent values being greater than 0 (0.011≤λ≤0.041) and its correlation dimension being in the range of 1.388≤D2≤1.775. Furthermore, it was revealed that there exists a negative correlation between the state of the ionosphere and signal quality at the two locations. Using transfer entropy, it was confirmed that the ionosphere interfered more with signals during 2020, a year of lower solar activity (sunspot number, 8.8) compared to 2021 (sunspot number, 29.6). On a monthly scale, the influence of the ionosphere on signal quality was found to be complicated. The results obtained in this study will be useful in communication systems design, modelling, and prediction.

Publisher

MDPI AG

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