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Analysis of Exposure to Electromagnetic Fields within the Near-field of HF Broadcast Antennas

Fu, Ying (2013) Analysis of Exposure to Electromagnetic Fields within the Near-field of HF Broadcast Antennas. PhD thesis, University of Sheffield.

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Text (Chapter 4. Analysis of E-field Strength with the Near-Field of a HF)
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Abstract

This thesis presents a study of the relationship between field strength and the actual levels of SAR in the human body encountered in close proximity to high gain high power HF broadcast antennas. In order to assess the human exposure against ICNIRP guidelines, it has led to the development of a series of assessments of modelling techniques, mechanical configuration and environment of a transmission site. Due to the complex nature of this EM problem, each chapter of this thesis covers the key developments of particular sub-projects in different areas. The findings of each area correspond to the ICNIRP occupational and public exposure guidelines; they formed the reference parameters in the primary assessments which could apply to a range of similar EM scenarios. The chapters of this thesis do not necessarily follow a chronological order. Various potential influential aspects of assessing the human exposure levels were addressed during continuous problem solving processes, including several issues have not been covered in other research before. There are three areas that have been covered in this thesis, firstly relating whole body SAR to incident plane-wave fields in correlation with ICNIRP basic restriction and reference levels. Second, near-zone incident fields characteristic were assessed by simulations and analyses the results, where some exposure assessment protocols for ICNIRP compliance was derived. Thirdly real-time field measurements were carried out to consolidate the findings from the theoretical modelling analysis. Experimental results are shown to be in agreement with these predicted by theory and in general, the electromagnetic E-field strengths within the near-field of the antenna are found to be significantly below these recommended by ICNIRP.

Item Type: Thesis (PhD)
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Electronic and Electrical Engineering (Sheffield)
Identification Number/EthosID: uk.bl.ethos.581765
Depositing User: Dr Ying Fu
Date Deposited: 12 Nov 2013 15:55
Last Modified: 03 Oct 2016 10:46
URI: http://etheses.whiterose.ac.uk/id/eprint/4699

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