NEURAL NETWORK ESTIMATION OF RF ELECTROMAGNETIC POLLUTION NEAR TV BROADCAST TRANSMITTERS

摘要

A set of measurements to investigate the Radio Frequency (RF) electromagnetic pollution in an area surrounding a TV broadcast transmitter has been given. The RF electromagnetic fields at different transmitter output power and time, in and out of the measurement points, were estimated and visualized by the developed visual software, which has 3D screening unit, based on Artificial Neural Network and Grid Data. The software enables users to estimate the RF electromagnetic field distributions in and out of the measurement points. Electric and magnetic field components of RF radiation value at any point/area can be compared with national/international standard limits easily using the software developed.