Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering

A Prediction Model for Electromagnetic Radiation of Multi- system Base Station

Authors
Jie Yang, Lei Wang, Xianli Li, Jie Wu, Yongjin Chao, Cunzhen Pan
Corresponding Author
Jie Yang
Available Online March 2013.
DOI
https://doi.org/10.2991/iccsee.2013.752How to use a DOI?
Keywords
Multi-system Base Station, Electromagnetic Radiation, Antenna Characteristic, Prediction Model
Abstract
In order to understand the distribution feature of the electromagnetic radiation in nearby regions around the Multi-system mobile communication base stations, a theoretical prediction model of electromagnetic radiation at multi-system base station is proposed, based on the distribution characteristic of electromagnetic power for the base station antenna. Though antenna characteristic parameters, such as the normalized directivity function, antenna gain, gain of the array element, shaped gain and so on, the distribution of its power density of the Multi-radiation source in Multi- system base station is calculated. Compare with the surveys and analysis of the actual electromagnetic radiation and environment, the result has showed this electromagnetic radiation at multi-system base station was scientific and rational.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering
Part of series
Advances in Intelligent Systems Research
Publication Date
March 2013
ISBN
978-90-78677-61-1
ISSN
1951-6851
DOI
https://doi.org/10.2991/iccsee.2013.752How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Jie Yang
AU  - Lei Wang
AU  - Xianli Li
AU  - Jie Wu
AU  - Yongjin Chao
AU  - Cunzhen Pan
PY  - 2013/03
DA  - 2013/03
TI  - A Prediction Model for Electromagnetic Radiation of Multi- system Base Station
BT  - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccsee.2013.752
DO  - https://doi.org/10.2991/iccsee.2013.752
ID  - Yang2013/03
ER  -