{"title":"A real-time TAM-BP imaging algorithm for subsurface imaging radar","authors":"L. Wentai, Huang Chunlin, Su Yi","doi":"10.1109/ICU.2005.1570061","DOIUrl":null,"url":null,"abstract":"A real-time recursive time-delay and amplitude modified back projection (TAM-BP) imaging algorithm is presented in this paper. Real time imaging is an intense demand but a challenging task in subsurface imaging radar (SIR)'s application. Based on 'delay-sum' operation in time domain, TAM-BP imaging algorithm can precisely focus scattering intensity and obtain high quality subsurface profile. But its heavy computation load restricts its application in SIR's real-time processing. After analyzing TAM-BP imaging procedure, a recursive model of this imaging algorithm is established and real-time TAM-BP imaging algorithm is educed subsequently. The computation complexity of both non-real-time TAM-BP imaging algorithm and real-time TAM-BP imaging algorithm are compared with experimental data.","PeriodicalId":105819,"journal":{"name":"2005 IEEE International Conference on Ultra-Wideband","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2005 IEEE International Conference on Ultra-Wideband","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICU.2005.1570061","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
A real-time recursive time-delay and amplitude modified back projection (TAM-BP) imaging algorithm is presented in this paper. Real time imaging is an intense demand but a challenging task in subsurface imaging radar (SIR)'s application. Based on 'delay-sum' operation in time domain, TAM-BP imaging algorithm can precisely focus scattering intensity and obtain high quality subsurface profile. But its heavy computation load restricts its application in SIR's real-time processing. After analyzing TAM-BP imaging procedure, a recursive model of this imaging algorithm is established and real-time TAM-BP imaging algorithm is educed subsequently. The computation complexity of both non-real-time TAM-BP imaging algorithm and real-time TAM-BP imaging algorithm are compared with experimental data.