An Investigation on Effects of In-Leaf and Out-of-Leaf Conditions on Propagated Radio Broadcast FM Signal
DOI:
https://doi.org/10.38032/jea.2023.03.001Keywords:
Propagation Model, Path Loss, Root Mean Square Error, FM, Coverage AreasAbstract
The daily increasing desire for the right information at any place, anytime, and anywhere by people has made broadcast media indispensable media for disseminating information to the public. Propagation models are deployed in planning and designing wireless communication systems. Different environments do require a unique propagation model. In this paper, least squares regression analysis was utilized to create the path loss models for the in-leaf and out-of-leaf conditions of a teak (Tectona grandis) plantation. The developed model was found to be more suitable compared to the existing Weissberger’s and COST235 models because it gives the least difference in root mean square error of 3.9 dB in the two scenarios compared to COST 234 and Weissberger, which stand at 11.2 dB and 10.8 dB, respectively, and the developed model was closer to the assessed path loss obtained from the measurement carried out. The results of the study establish a standard model that can be deployed in the effective planning and design of wireless communication links for very high bands within the radial distance in the tropical rain forest of 30m to 45m foliage depth. This study confirms the need for distinctive models for radio signals at different locations under different conditions.
References
Zhang, Y., Wen, J., Yang, G., He, Z. and Wang, J., 2019. Path loss prediction based on machine learning: Principle, method, and data expansion. Applied Sciences, 9(9), p.1908. DOI: https://doi.org/10.3390/app9091908
Popoola, J. and Adesanya, A., 2018. A Versatile Wave Propagation Model for Very High-Frequency Broadcasting Band in Vegetation and/or Rocky Environment. International Journal of Engineering Science and Application, 2(1), pp.18-26.
Li, L.W., Lee, C.K., Yeo, T.S. and Leong, M.S., 2002. Radio wave propagation along earth-space paths in the presence of a multilayered anisotropic forest. Electromagnetics, 22(3), pp.235-260. DOI: https://doi.org/10.1080/02726340252886483
Popoola, J.J., Ponnle, A.A., Olasoji, Y.O. and Oyetunji, S.A., 2018. Investigation of the need for a specific propagation model for specific environments based on different terrain characteristics. IIUM Engineering Journal, 19(2), pp.90-104. DOI: https://doi.org/10.31436/iiumej.v19i2.886
Enders, P., 2009. Huygens' principle is a universal model of propagation. Latin-American Journal of Physics Education, 3(1), p.4.
Rani, P., Chauhan, V., Kumar, S. and Sharma, D., 2014. A review of wireless propagation models. International Journal of Engineering and Innovative Technology, 3(11), pp.256-261.
AS, A., Siddle, D. and Salami, S.O., 2016. Vegetation attenuation and its dependence on foliage density. European Journal of Engineering and Technology, 4(3), pp.1-7.
NBC, Nigeria Broadcasting Code. 2002, p.1-196. Available at: http://www.nbc.gov.ng/uploads/nbc_documents/1466685527-code%20third%20edition.pdf, Retrieved July 18, 2023.
Meng, Y.S., Lee, Y.H. and Ng, B.C., 2009. Study of propagation loss prediction in a forest environment. Progress In Electromagnetics Research B, 17, pp.117-133. DOI: https://doi.org/10.2528/PIERB09071901
Seybold, J.S., 2005. Introduction to RF propagation. John Wiley & Sons. DOI: https://doi.org/10.1002/0471743690
Oke, M. and Raji, R., 2014. Exponential models of signal strength of a television station in Nigeria. International Journal of Mathematics and Statistics Studies, 2(1), pp.45-54.
Fagbohun, O.O., Studies on Electric Field Strength Distribution of UHF Television Signal Propagation in Ekiti-State. Nigeria. International Journal of Electronics and Communications Engineering (IOSR-JECE), 9(2)pp.111-121. DOI: https://doi.org/10.9790/2834-0925111121
Obot, A., Simeon, O. and Afolayan, J., 2011. Comparative analysis of path loss prediction models for urban macrocellular environments. Nigerian Journal of Technology, 30(3), pp.50-59.
Peden, S., Bradbury, R.C., Lamb, D.W. and Hedley, M., 2021. A model for RF loss through vegetation with varying water content. Journal of Electromagnetic Analysis and Applications, 13, pp.41-56. DOI: https://doi.org/10.4236/jemaa.2021.133003
Cama-Pinto, D., Damas, M., Holgado-Terriza, J.A., Arrabal-Campos, F.M., Gómez-Mula, F., Martínez-Lao, J.A. and Cama-Pinto, A., 2020. Empirical model of radio wave propagation in the presence of vegetation inside greenhouses using regularized regressions. Sensors, 20(22), p.6621. DOI: https://doi.org/10.3390/s20226621
Weissberger, M.A., 1982. An initial critical summary of models for predicting the attenuation of radio waves by trees (pp. 121-123). Department of Defense, Electromagnetic Compatibility Analysis Center. DOI: https://doi.org/10.21236/ADA118343
CCIR, Influences of terrain irregularities and vegetation on troposphere propagation, 235-236 CCIR Report, Geneva, 1986.
Savage, N., Ndzi, D., Seville, A., Vilar, E. and Austin, J., 2003. Radio wave propagation through vegetation: Factors influencing signal attenuation. Radio Science, 38(5), pp.9-1. DOI: https://doi.org/10.1029/2002RS002758
Stephens, R.B.L. and Al-Nuaimi, M.O., 1998. Measurement and prediction model optimization for signal attenuation in vegetation media at centimeter wave frequencies. IEE Proc Microw Antennas Propag, 145, pp.201-206. DOI: https://doi.org/10.1049/ip-map:19981883
COST235, Radio propagation effects on next-generation fixed-service terrestrial telecommunication systems, Final Report, Luxembourg, 1996.
Shaw, J.A., 2013. Radiometry and the Friis transmission equation. American Journal of Physics, 81(1), pp.33-37. DOI: https://doi.org/10.1119/1.4755780
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 Aderemi Temitayo Adesanya, Julius Jide Popoola
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Similar Articles
- Md. Iftekharul Alam, Abidur Rahman Adib, Abdullah Al Rifat, Tafsirul Hassan, Md. Mizanur Rahman, Numerical Analysis on Cavitation-noise and Fluid-structure Interaction of AU-Outline GAWN Series and B-Series Marine Propellers , Journal of Engineering Advancements: Vol. 4 No. 01 (2023)
You may also start an advanced similarity search for this article.