{"title":"演化算法在高斯光束逆散射中的应用","authors":"Gadi Lahav, T. Melamed","doi":"10.1109/URSI-EMTS.2016.7571311","DOIUrl":null,"url":null,"abstract":"In this work we attempt to overcome the two main limitations of the generic inverse scattering problem: the size and the ill-posed nature of the problem. We use a solver that is based on the discrete Gaussian beam summation method and apply it for the special case of a smoothly varying inhomogeneous medium. In order to overcome the need to perform simplifying approximations for the propagating medium, we use evolutionary algorithms for the optimization scheme. Reconstruction results for several configurations are presented.","PeriodicalId":400853,"journal":{"name":"2016 URSI International Symposium on Electromagnetic Theory (EMTS)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Evolutionary algorithms applications for inverse scattering using Gaussian beams\",\"authors\":\"Gadi Lahav, T. Melamed\",\"doi\":\"10.1109/URSI-EMTS.2016.7571311\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this work we attempt to overcome the two main limitations of the generic inverse scattering problem: the size and the ill-posed nature of the problem. We use a solver that is based on the discrete Gaussian beam summation method and apply it for the special case of a smoothly varying inhomogeneous medium. In order to overcome the need to perform simplifying approximations for the propagating medium, we use evolutionary algorithms for the optimization scheme. Reconstruction results for several configurations are presented.\",\"PeriodicalId\":400853,\"journal\":{\"name\":\"2016 URSI International Symposium on Electromagnetic Theory (EMTS)\",\"volume\":\"38 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-09-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 URSI International Symposium on Electromagnetic Theory (EMTS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/URSI-EMTS.2016.7571311\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 URSI International Symposium on Electromagnetic Theory (EMTS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/URSI-EMTS.2016.7571311","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Evolutionary algorithms applications for inverse scattering using Gaussian beams
In this work we attempt to overcome the two main limitations of the generic inverse scattering problem: the size and the ill-posed nature of the problem. We use a solver that is based on the discrete Gaussian beam summation method and apply it for the special case of a smoothly varying inhomogeneous medium. In order to overcome the need to perform simplifying approximations for the propagating medium, we use evolutionary algorithms for the optimization scheme. Reconstruction results for several configurations are presented.