{"title":"Statistical estimation of the propagation constant in multiline calibrations","authors":"K. Andersson, C. Fager","doi":"10.1109/ARFTG.2006.4734358","DOIUrl":null,"url":null,"abstract":"In this paper we propose a method for improving the accuracy of estimating the propagation constant in multiline calibrations. The method employs an extended Kalman filter to take advantage of the fact that the propagation constant is strongly correlated between frequencies. The method is then compared against the traditional multiline method.","PeriodicalId":345451,"journal":{"name":"2006 67th ARFTG Conference","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 67th ARFTG Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ARFTG.2006.4734358","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
In this paper we propose a method for improving the accuracy of estimating the propagation constant in multiline calibrations. The method employs an extended Kalman filter to take advantage of the fact that the propagation constant is strongly correlated between frequencies. The method is then compared against the traditional multiline method.