{"title":"一种自适应SAR成像算法","authors":"Yesheng Gao, Kaizhi Wang, Xingzhao Liu","doi":"10.1109/WDD.2012.7311310","DOIUrl":null,"url":null,"abstract":"An adaptive SAR imaging algorithm is proposed in this paper. Assume that the received radar data is echoes from isolated point targets, a signal model is constructed. The parameters of the signal model are estimated, and can be used to characterize a single scatterer. Then the estimated parameter space can be mapped to form SAR image. Simulation experiment is used to validate the algorithm.","PeriodicalId":102625,"journal":{"name":"2012 International Waveform Diversity & Design Conference (WDD)","volume":"85 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"An adaptive SAR imaging algorithm\",\"authors\":\"Yesheng Gao, Kaizhi Wang, Xingzhao Liu\",\"doi\":\"10.1109/WDD.2012.7311310\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An adaptive SAR imaging algorithm is proposed in this paper. Assume that the received radar data is echoes from isolated point targets, a signal model is constructed. The parameters of the signal model are estimated, and can be used to characterize a single scatterer. Then the estimated parameter space can be mapped to form SAR image. Simulation experiment is used to validate the algorithm.\",\"PeriodicalId\":102625,\"journal\":{\"name\":\"2012 International Waveform Diversity & Design Conference (WDD)\",\"volume\":\"85 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 International Waveform Diversity & Design Conference (WDD)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WDD.2012.7311310\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 International Waveform Diversity & Design Conference (WDD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WDD.2012.7311310","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An adaptive SAR imaging algorithm is proposed in this paper. Assume that the received radar data is echoes from isolated point targets, a signal model is constructed. The parameters of the signal model are estimated, and can be used to characterize a single scatterer. Then the estimated parameter space can be mapped to form SAR image. Simulation experiment is used to validate the algorithm.