S. Lalléchère, S. Antonijevic, K. El Khamlichi Drissi, D. Poljak
{"title":"Optimized numerical models of thin wire above an imperfect and lossy ground for GPR statistics","authors":"S. Lalléchère, S. Antonijevic, K. El Khamlichi Drissi, D. Poljak","doi":"10.1109/ICEAA.2015.7297246","DOIUrl":null,"url":null,"abstract":"This contribution aims to demonstrate the ability of advanced time techniques to deal with Ground Penetrating Radar (GPR) applications. It is recognized that GPR systems are subjected to complex environment: parameters from setup (antennas) and environment are hardly ever known with an infinite precision. This issue is mainly due to intrinsic uncertainties (heights of antennas, soil electrical properties for instance) and may be illustrated trough time modeling of thin wire located above a lossy ground. In order to tackle the problem, the aim of this paper is to combine advanced time techniques with stochastic methods to properly access relevant statistics about GPR time responses.","PeriodicalId":277112,"journal":{"name":"2015 International Conference on Electromagnetics in Advanced Applications (ICEAA)","volume":"89 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 International Conference on Electromagnetics in Advanced Applications (ICEAA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEAA.2015.7297246","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
This contribution aims to demonstrate the ability of advanced time techniques to deal with Ground Penetrating Radar (GPR) applications. It is recognized that GPR systems are subjected to complex environment: parameters from setup (antennas) and environment are hardly ever known with an infinite precision. This issue is mainly due to intrinsic uncertainties (heights of antennas, soil electrical properties for instance) and may be illustrated trough time modeling of thin wire located above a lossy ground. In order to tackle the problem, the aim of this paper is to combine advanced time techniques with stochastic methods to properly access relevant statistics about GPR time responses.
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