{"title":"电磁散射特征稀疏展开中物理基函数的应用","authors":"J. Halman, A. N. O'Donnell, R. Burkholder","doi":"10.1109/RADAR.2014.6875680","DOIUrl":null,"url":null,"abstract":"This paper explores the use of physical basis functions as an efficient and insightful sparse expansion for representing the electromagnetic scattering from large finite targets. Such an expansion is central to applying compressed sensing techniques. The closed-form physical optics solution for scattering from an arbitrary flat plate is used to extract the physical basis functions related to scattering mechanisms of edge and corner diffraction, and specular reflection. Orthogonal matching pursuits is applied to find the coefficients of the sparse expansion from the calculated scattered fields of a plate as a function of frequency and angle. Convergence is demonstrated as a function of the number of basis functions and compressed sensing samples.","PeriodicalId":127690,"journal":{"name":"2014 IEEE Radar Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"On the use of physical basis functions in a sparse expansion for electromagnetic scattering signatures\",\"authors\":\"J. Halman, A. N. O'Donnell, R. Burkholder\",\"doi\":\"10.1109/RADAR.2014.6875680\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper explores the use of physical basis functions as an efficient and insightful sparse expansion for representing the electromagnetic scattering from large finite targets. Such an expansion is central to applying compressed sensing techniques. The closed-form physical optics solution for scattering from an arbitrary flat plate is used to extract the physical basis functions related to scattering mechanisms of edge and corner diffraction, and specular reflection. Orthogonal matching pursuits is applied to find the coefficients of the sparse expansion from the calculated scattered fields of a plate as a function of frequency and angle. Convergence is demonstrated as a function of the number of basis functions and compressed sensing samples.\",\"PeriodicalId\":127690,\"journal\":{\"name\":\"2014 IEEE Radar Conference\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-05-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE Radar Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RADAR.2014.6875680\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE Radar Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RADAR.2014.6875680","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
On the use of physical basis functions in a sparse expansion for electromagnetic scattering signatures
This paper explores the use of physical basis functions as an efficient and insightful sparse expansion for representing the electromagnetic scattering from large finite targets. Such an expansion is central to applying compressed sensing techniques. The closed-form physical optics solution for scattering from an arbitrary flat plate is used to extract the physical basis functions related to scattering mechanisms of edge and corner diffraction, and specular reflection. Orthogonal matching pursuits is applied to find the coefficients of the sparse expansion from the calculated scattered fields of a plate as a function of frequency and angle. Convergence is demonstrated as a function of the number of basis functions and compressed sensing samples.