M. D. B. Lo-Ndiaye, N. Noé, P. Combeau, Y. Pousset, F. Gaudaire
{"title":"Analysis of electric field spatial variability in simulations of electromagnetic waves exposure to mobile telephony base stations","authors":"M. D. B. Lo-Ndiaye, N. Noé, P. Combeau, Y. Pousset, F. Gaudaire","doi":"10.1109/URSI-AT-RASC.2015.7302881","DOIUrl":null,"url":null,"abstract":"This paper focuses on the study of electric field spatial variability in the context of mobile telephony base stations exposure. Electric field is computed using a Uniform Theory of Diffraction (UTD) based simulation technique suitable for large urban areas. Two complementary approaches of spatial variability are proposed here. One based upon spatial autocorrelation and the other one on statistical laws identification to account for electric field distribution in an urban area. The first approach allows us to quantify the spatial dependency of electric field in three representative areas of exposure. The second one demonstrates that statistical laws depending of the area type and urban typology can represent the electric field behavior.","PeriodicalId":6551,"journal":{"name":"2015 9th European Conference on Antennas and Propagation (EuCAP)","volume":"3 1","pages":"1-5"},"PeriodicalIF":0.0000,"publicationDate":"2015-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 9th European Conference on Antennas and Propagation (EuCAP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/URSI-AT-RASC.2015.7302881","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
This paper focuses on the study of electric field spatial variability in the context of mobile telephony base stations exposure. Electric field is computed using a Uniform Theory of Diffraction (UTD) based simulation technique suitable for large urban areas. Two complementary approaches of spatial variability are proposed here. One based upon spatial autocorrelation and the other one on statistical laws identification to account for electric field distribution in an urban area. The first approach allows us to quantify the spatial dependency of electric field in three representative areas of exposure. The second one demonstrates that statistical laws depending of the area type and urban typology can represent the electric field behavior.