Large-scale radio propagation path loss measurements and predictions in the VHF and UHF bands

Faruk, Nasir and Abdulrasheed, I.Y. and Surajudeen-Bakinde, N.T. and Adetiba, E. and Oloyede, A.A and Abdulkarim, Abubakar and Sowande, Olugbenga and Ifijeh, H. A. and Atayero, A. A. (2021) Large-scale radio propagation path loss measurements and predictions in the VHF and UHF bands. Heliyon, 7 (6).

PDF Download (3MB)

Abstract

For decades now, a lot of radio wave path loss propagation models have been developed for predictions across different environmental terrains. Amongst these models, empirical models are practically the most popular due to their ease of application. However, their prediction accuracies are not as high as required. Therefore, extensive path loss measurement data are needed to develop novel measurement-oriented path loss models with suitable correction factors for varied frequency, capturing both local terrain and clutter information, this have been found to be relatively expensive. In this paper, a large-scale radio propagation path loss measurement campaign was conducted across the VHF and UHF frequencies. A multi-transmitter propagation set-up was employed to measure the strengths of radio signals from seven broadcasting transmitters (operating at 89.30, 103.5, 203.25, 479.25, 615.25, 559.25 and 695.25 MHz respectively) at various locations covering a distance of 145.5 km within Nigerian urban environments. The measurement procedure deployed ensured that the data obtained strictly reflect the shadowing effects on radio signal propagation by filtering out the small-scale fading components. The paper also, examines the feasibilities of applying Kriging method to predict distanced-based path losses in the VHF and UHF bands. This method was introduced to minimize the cost of measurements, analysis and predictions of path losses in built-up propagation environments

Item Type:	Article
Uncontrolled Keywords:	Path loss measurementKriging Interpolation MethodPrediction modelRadio propagation
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:	Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science
Depositing User:	Mrs Hannah Akinwumi
Date Deposited:	01 Apr 2022 11:48
Last Modified:	01 Apr 2022 11:48
URI:	http://eprints.covenantuniversity.edu.ng/id/eprint/15783

Actions (login required)

View Item