Neural network estimation of RF electromagnetic pollution near TV broadcast transmitters

被引：3
|
作者：
Colak, Ilhami [1 ]
Kocsalay, Ilhan [2 ]
机构：
[1] Gazi Univ, Fac Tech Educ, Dept Elect Engn, TR-06500 Ankara, Turkey
[2] Studio Planning Dept, Turkish Radio & Televis Authorizat, Ankara, Turkey
来源：
MICROWAVE AND OPTICAL TECHNOLOGY LETTERS | 2008年 / 50卷 / 04期
关键词：
TV transmitter; RF radiation measurements; artificial neural networks; estimation;
D O I：
10.1002/mop.23301
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
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. (C) 2008 Wiley Periodicals. Inc.
引用
收藏
页码：1004 / 1010
页数：7
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