Abstract
During the planning and dimensioning (P&D) of a Digital Terrestrial Television (DTT) system plays a very important role to use a suitable model that allows estimating the propagation path loss with the most possible precision according to the typical propagation characteristics of the site in which the system will be implemented. The imprecision in that estimation will lead to oversize or undersize of the system. In this sense, in this paper, one of the propagation most used models for the PyD process in ultra high frequency (UHF) band, in which the DTT systems operate, as the Lee model, is optimized using measurements carried out in Montevideo city, Uruguay, and also using Ant Colony Optimization (ACO) computational intelligence technique. The performance presented by new Lee model, compared with the performance shown by propagation models such as Okumura-Hata, Hata-Davidson, TDT-Uruguay and original Lee model, was the best, with a root mean square error (RMSE) of 9.43 dB.
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Torres-Tovio, J.M., Pérez-García, N.A., Pinto-Mangones, A.D., Macea-Anaya, M.R., Castaño-Rivera, S.O., Delgado Cuadro, E.I. (2020). Novel Lee Model for Prediction of Propagation Path Loss in Digital Terrestrial Television Systems in Montevideo City, Uruguay. In: Botto-Tobar, M., León-Acurio, J., Díaz Cadena, A., Montiel Díaz, P. (eds) Advances in Emerging Trends and Technologies. ICAETT 2019. Advances in Intelligent Systems and Computing, vol 1066. Springer, Cham. https://doi.org/10.1007/978-3-030-32022-5_50
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