
doi: 10.1093/rpd/ncn002
pmid: 18252853
The increased number of everyday applications that rely on wireless communication has drawn an attention to several concerns on the adverse health effects that prolonged or even short time exposure might have on humans. International organisations and countries have adopted guides and legislation for the public safety. They include reference levels (RLs) regarding field strength electromagnetic quantities. To check for RLs compliance in an environment with multiple transmitters of various types, analytical simulation models may be implemented provided that all the necessary information are available. Since this is not generally the case in the most practical situations, on-site measurements have to be performed. The necessary equipment for measurements of this type usually includes broadband field metres suitable to measure the field strength over the whole bandwidth of the field sensor used. These types of measurements have several drawbacks; to begin with, given that RLs are frequency depended, compliance evaluation can be misleading since no information is available regarding the measured spectrum distribution. Furthermore, in a multi-transmitter environment there is no way of distinguishing the contribution of a specific source to the overall field measured. Of course, this problem can be resolved using narrowband directional receiver antennas, yet there is always the need for a priori knowledge of the polarisation of the incident electromagnetic wave. In this work, the use of measurement schemes of this type is addressed. A method independent to the polarisation of the incident wave is proposed and a way to evaluate a single source contribution to the total field in a multi-transmitter environment and the polarisation of the measured incident wave is presented.
Models, Statistical, Radiation, Radio Waves, Environmental Exposure, Models, Theoretical, Electromagnetic Fields, Radiation Monitoring, Calibration, Humans, Computer Simulation, Electromagnetic Phenomena, Algorithms, Environmental Monitoring
Models, Statistical, Radiation, Radio Waves, Environmental Exposure, Models, Theoretical, Electromagnetic Fields, Radiation Monitoring, Calibration, Humans, Computer Simulation, Electromagnetic Phenomena, Algorithms, Environmental Monitoring
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