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Neural network estimation of RF electromagnetic pollution near TV broadcast transmitters
Author(s) -
Çolak İlhami,
Koçsalay İlhan
Publication year - 2008
Publication title -
microwave and optical technology letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.304
H-Index - 76
eISSN - 1098-2760
pISSN - 0895-2477
DOI - 10.1002/mop.23301
Subject(s) - transmitter , microwave , software , radio frequency , electrical engineering , electromagnetic field , electronic engineering , engineering , radio transmitter design , grid , point (geometry) , computer science , telecommunications , geography , physics , channel (broadcasting) , geometry , mathematics , quantum mechanics , programming language , geodesy
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. © 2008 Wiley Periodicals, Inc. Microwave Opt Technol Lett 50: 1004–1010, 2008; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mop.23301