Error message

Deprecated function: Array and string offset access syntax with curly braces is deprecated in include_once() (line 20 of /home/makcnsproj/public_html/includes/file.phar.inc).

Modeling the Distribution of Radiofrequency Intensi¬ties from the Digital Terrestrial Television (DTTV) Broadcasting Transmitter in Kam¬pala Metropolitan; Uganda

TitleModeling the Distribution of Radiofrequency Intensi¬ties from the Digital Terrestrial Television (DTTV) Broadcasting Transmitter in Kam¬pala Metropolitan; Uganda
Publication TypeJournal Article
Year of Publication2020
AuthorsOpio, P, Kisolo, A, Ireeta, TW, Okullo, W
JournalAsian Journal of Research and Reviews in Physics
Pagination65-78
Date Published26 December 2020
KeywordsRadiofrequency intensities path loss empirical models Reference Signal Received Power (RSRP) Root Mean Square Error (RMSE).
Abstract

This study presents the modeling of the distribution of RF intensities from the Digital Terrestrial Television (DTTV) broadcasting transmitter in Kampala metropolitan. To  achieve this, the performance evaluation of the different path loss propagation models and envisaging the one most suitable for Kampala metropolitan was done by comparing the path loss model values with the measured field Reference Signal Received  Power (RSRP) values. The RSRP of the DTTV broadcasting transmitter were measured at operating frequencies of 526 MHz, 638 MHz, 730 MHz and 766 MHz using the Aaronia  Spectran HF-6065 V4 spectrum analyzer, Aaronia AG HyperLOG 4025 Antenna at 1.5 m and 2.5 m heights, Aaronia GPS Logger, real time Aaronia MCS spectrum-analysis-software and   a T430s Lenovo Laptop. On comparing the measured path loss values with the various  path loss prediction model values, results showed that Egli and Davidson models are the  most accurate and reliable path loss prediction models for the distribution of DTTV RF  intensities in Kampala metropolitan, since their Root Mean Square Error values were the least for both routes.

URLhttps://www.journalajr2p.com/index.php/AJR2P/article/view/30130
DOI10.9734/ajr2p/2020/v3i430130