[Optimization of measurement methods for a multi-frequency electromagnetic field from mobile phone base station using broadband EMF meter]
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Published on: May 2, 2018
Paweł Bieńkowski1, Paweł Cała2, Bartłomiej Zubrzak3
1Politechnika Wrocławska / Wroclaw University of Technology, Wrocław, Poland (Wydział Elektroniki, Katedra Telekomunikacja i Teleinformatyki / Faculty of Electronics, Telecommunications and Teleinformatics Department). pawel.bienkowski@pwr.edu.pl.
Background:
This paper presents the characteristics of the mobile phone base station (BS) as an electromagnetic field (EMF) source. The most common system configurations with their construction are described. The parameters of radiated EMF in the context of the access to methods and other parameters of the radio transmission are discussed. Attention was also paid to antennas that are used in this technology.
Material And Methods:
The influence of individual components of a multi-frequency EMF, most commonly found in the BS surroundings, on the resultant EMF strength value indicated by popular broadband EMF meters was analyzed. The examples of metrological characteristics of the most common EMF probes and 2 measurement scenarios of the multisystem base station, with and without microwave relays, are shown.
Results:
The presented method for measuring the multi-frequency EMF using 2 broadband probes allows for the significant minimization of measurement uncertainty. Equations and formulas that can be used to calculate the actual EMF intensity from multi-frequency sources are shown. They have been verified in the laboratory conditions on a specific standard setup as well as in real conditions in a survey of the existing base station with microwave relays.
Conclusions:
Presented measurement methodology of multi-frequency EMF from BS with microwave relays, validated both in laboratory and real conditions. It has been proven that the described measurement methodology is the optimal approach to the evaluation of EMF exposure in BS surrounding. Alternative approaches with much greater uncertainty (precaution method) or more complex measuring procedure (sources exclusion method) are also presented).
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