{"title":"近场阵列扩展目标的相关干涉成像","authors":"R. Rao, B. Himed","doi":"10.1109/CAMAP.2005.1574176","DOIUrl":null,"url":null,"abstract":"High resolution imaging of objects in the Terahertz region of the electromagnetic spectrum requires operating in the near field region. Correlative interferometric approaches based on mathematical expressions for near field measurements are developed for reconstructing images of 1-D extended objects. The approach relies on providing constrained least squares fit between computed autocorrelation from sensor measurements and the expression for the near field autocorrelation.","PeriodicalId":281761,"journal":{"name":"1st IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2005.","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Correlative interferometric imaging of extended objects for near field arrays\",\"authors\":\"R. Rao, B. Himed\",\"doi\":\"10.1109/CAMAP.2005.1574176\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"High resolution imaging of objects in the Terahertz region of the electromagnetic spectrum requires operating in the near field region. Correlative interferometric approaches based on mathematical expressions for near field measurements are developed for reconstructing images of 1-D extended objects. The approach relies on providing constrained least squares fit between computed autocorrelation from sensor measurements and the expression for the near field autocorrelation.\",\"PeriodicalId\":281761,\"journal\":{\"name\":\"1st IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2005.\",\"volume\":\"5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-12-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"1st IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2005.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CAMAP.2005.1574176\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"1st IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2005.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CAMAP.2005.1574176","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Correlative interferometric imaging of extended objects for near field arrays
High resolution imaging of objects in the Terahertz region of the electromagnetic spectrum requires operating in the near field region. Correlative interferometric approaches based on mathematical expressions for near field measurements are developed for reconstructing images of 1-D extended objects. The approach relies on providing constrained least squares fit between computed autocorrelation from sensor measurements and the expression for the near field autocorrelation.
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