{"title":"蒙特卡罗法测量微波功率的不确定度分析","authors":"Cui Xiao-hai, Liu Xin-meng","doi":"10.1109/arftg.2006.8361660","DOIUrl":null,"url":null,"abstract":"Monte Carlo Method is a kind of statistic simulation method. Many complicated transform and nonlinear problems in mathematic model of metrology can be solved with Monte Carlo Method. So Monte Carlo Method is frequently used for uncertainty analysis in metrology recent years. As to measurement of microwave power, traditional uncertainty analysis ignores or over-estimates some uncertainty because the precise model of uncertainty is too complicated to use. This paper firstly tries to provide a perfect model of microwave power measurement uncertainty and then discusses uncertainty evaluation by Monte Carlo Method including mathematic modeling and Monte Carlo simulation. Analyzed results with Monte Carlo Method are also provided.","PeriodicalId":302468,"journal":{"name":"2006 68th ARFTG Conference: Microwave Measurement","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Uncertainty analysis of microwave power measurement with Monte Carlo method\",\"authors\":\"Cui Xiao-hai, Liu Xin-meng\",\"doi\":\"10.1109/arftg.2006.8361660\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Monte Carlo Method is a kind of statistic simulation method. Many complicated transform and nonlinear problems in mathematic model of metrology can be solved with Monte Carlo Method. So Monte Carlo Method is frequently used for uncertainty analysis in metrology recent years. As to measurement of microwave power, traditional uncertainty analysis ignores or over-estimates some uncertainty because the precise model of uncertainty is too complicated to use. This paper firstly tries to provide a perfect model of microwave power measurement uncertainty and then discusses uncertainty evaluation by Monte Carlo Method including mathematic modeling and Monte Carlo simulation. Analyzed results with Monte Carlo Method are also provided.\",\"PeriodicalId\":302468,\"journal\":{\"name\":\"2006 68th ARFTG Conference: Microwave Measurement\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2006 68th ARFTG Conference: Microwave Measurement\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/arftg.2006.8361660\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 68th ARFTG Conference: Microwave Measurement","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/arftg.2006.8361660","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Uncertainty analysis of microwave power measurement with Monte Carlo method
Monte Carlo Method is a kind of statistic simulation method. Many complicated transform and nonlinear problems in mathematic model of metrology can be solved with Monte Carlo Method. So Monte Carlo Method is frequently used for uncertainty analysis in metrology recent years. As to measurement of microwave power, traditional uncertainty analysis ignores or over-estimates some uncertainty because the precise model of uncertainty is too complicated to use. This paper firstly tries to provide a perfect model of microwave power measurement uncertainty and then discusses uncertainty evaluation by Monte Carlo Method including mathematic modeling and Monte Carlo simulation. Analyzed results with Monte Carlo Method are also provided.