{"title":"关于探地雷达信号的极性反转","authors":"D. Campo","doi":"10.1109/iwagpr50767.2021.9843176","DOIUrl":null,"url":null,"abstract":"Ground Penetrating Radar (GPR) signal amplitude is the main signal attribute used for GPR data interpretation as, by observing its variations, it is possible to identify buried targets or material changes. 180-degree phase shifts, commonly referred to as polarity reversal, are also used to infer the material nature (e.g., voids). This paper presents an analysis of the polarity reversal occurrence through the definition of the reflection and transmission coefficient for perpendicular and parallel polarization of the electric field, showing different scenarios with the help of Finite Difference Time Domain (FDTD) numerical modelling in ideal lossless conditions as well as lossy/dispersive environments. Real radargrams are also presented to corroborate the forward modelling findings.","PeriodicalId":170169,"journal":{"name":"2021 11th International Workshop on Advanced Ground Penetrating Radar (IWAGPR)","volume":"92 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"On GPR signal polarity reversal\",\"authors\":\"D. Campo\",\"doi\":\"10.1109/iwagpr50767.2021.9843176\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Ground Penetrating Radar (GPR) signal amplitude is the main signal attribute used for GPR data interpretation as, by observing its variations, it is possible to identify buried targets or material changes. 180-degree phase shifts, commonly referred to as polarity reversal, are also used to infer the material nature (e.g., voids). This paper presents an analysis of the polarity reversal occurrence through the definition of the reflection and transmission coefficient for perpendicular and parallel polarization of the electric field, showing different scenarios with the help of Finite Difference Time Domain (FDTD) numerical modelling in ideal lossless conditions as well as lossy/dispersive environments. Real radargrams are also presented to corroborate the forward modelling findings.\",\"PeriodicalId\":170169,\"journal\":{\"name\":\"2021 11th International Workshop on Advanced Ground Penetrating Radar (IWAGPR)\",\"volume\":\"92 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 11th International Workshop on Advanced Ground Penetrating Radar (IWAGPR)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/iwagpr50767.2021.9843176\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 11th International Workshop on Advanced Ground Penetrating Radar (IWAGPR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/iwagpr50767.2021.9843176","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Ground Penetrating Radar (GPR) signal amplitude is the main signal attribute used for GPR data interpretation as, by observing its variations, it is possible to identify buried targets or material changes. 180-degree phase shifts, commonly referred to as polarity reversal, are also used to infer the material nature (e.g., voids). This paper presents an analysis of the polarity reversal occurrence through the definition of the reflection and transmission coefficient for perpendicular and parallel polarization of the electric field, showing different scenarios with the help of Finite Difference Time Domain (FDTD) numerical modelling in ideal lossless conditions as well as lossy/dispersive environments. Real radargrams are also presented to corroborate the forward modelling findings.
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