{"title":"介质边缘的超宽带雷达衍射近似","authors":"B. Friederich, T. Schultze, I. Willms","doi":"10.1109/ICUWB.2015.7324523","DOIUrl":null,"url":null,"abstract":"In this paper, a diffraction simulation for dielectric edges is introduced. The simulation is based on geometrical theory of diffraction (GTD) and is implemented as an improvement of the millimeter-wave surface characterization. This material characterization technique has been introduced in [1] and uses the microwave ellipsometry. The subject of current investigations is the usage of autonomous security robots for the detection of hot spots, the localization and characterization of objects. These robots should support fire brigades or disaster relief teams by millimeter-wave surface characterization. The developed technique was inspired by the established optical ellipsometry. The optical characterization technique does not consider the effect diffraction at the edges of the surface. Hence, the ellipsometry is limited to large surfaces where the diffraction effects can be neglected, but for the supposed application it is necessary to compensate these effects.","PeriodicalId":339208,"journal":{"name":"2015 IEEE International Conference on Ubiquitous Wireless Broadband (ICUWB)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Ultra-Wideband Radar Diffraction Approximation for Dielectric Edges\",\"authors\":\"B. Friederich, T. Schultze, I. Willms\",\"doi\":\"10.1109/ICUWB.2015.7324523\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a diffraction simulation for dielectric edges is introduced. The simulation is based on geometrical theory of diffraction (GTD) and is implemented as an improvement of the millimeter-wave surface characterization. This material characterization technique has been introduced in [1] and uses the microwave ellipsometry. The subject of current investigations is the usage of autonomous security robots for the detection of hot spots, the localization and characterization of objects. These robots should support fire brigades or disaster relief teams by millimeter-wave surface characterization. The developed technique was inspired by the established optical ellipsometry. The optical characterization technique does not consider the effect diffraction at the edges of the surface. Hence, the ellipsometry is limited to large surfaces where the diffraction effects can be neglected, but for the supposed application it is necessary to compensate these effects.\",\"PeriodicalId\":339208,\"journal\":{\"name\":\"2015 IEEE International Conference on Ubiquitous Wireless Broadband (ICUWB)\",\"volume\":\"53 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-11-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE International Conference on Ubiquitous Wireless Broadband (ICUWB)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICUWB.2015.7324523\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE International Conference on Ubiquitous Wireless Broadband (ICUWB)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICUWB.2015.7324523","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Ultra-Wideband Radar Diffraction Approximation for Dielectric Edges
In this paper, a diffraction simulation for dielectric edges is introduced. The simulation is based on geometrical theory of diffraction (GTD) and is implemented as an improvement of the millimeter-wave surface characterization. This material characterization technique has been introduced in [1] and uses the microwave ellipsometry. The subject of current investigations is the usage of autonomous security robots for the detection of hot spots, the localization and characterization of objects. These robots should support fire brigades or disaster relief teams by millimeter-wave surface characterization. The developed technique was inspired by the established optical ellipsometry. The optical characterization technique does not consider the effect diffraction at the edges of the surface. Hence, the ellipsometry is limited to large surfaces where the diffraction effects can be neglected, but for the supposed application it is necessary to compensate these effects.