{"title":"射线追踪传播环境中参数灵敏度分析","authors":"Shuai Wang, J. D. Reed","doi":"10.1109/VETEC.1997.600440","DOIUrl":null,"url":null,"abstract":"Ray-tracing has become increasingly popular for dense urban microcell prediction, and the results are generally better than can be obtained with other techniques, but questions remain on the sensitivity of the ray tracing algorithms to a number of parameters, including: building materials, environmental parameters, and various types of errors. A number of parameters are tested for its sensitivity to changes in the error of a nominal prediction.","PeriodicalId":389634,"journal":{"name":"1997 IEEE 47th Vehicular Technology Conference. Technology in Motion","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1997-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Analysis of parameter sensitivity in a ray-tracing propagation environment\",\"authors\":\"Shuai Wang, J. D. Reed\",\"doi\":\"10.1109/VETEC.1997.600440\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Ray-tracing has become increasingly popular for dense urban microcell prediction, and the results are generally better than can be obtained with other techniques, but questions remain on the sensitivity of the ray tracing algorithms to a number of parameters, including: building materials, environmental parameters, and various types of errors. A number of parameters are tested for its sensitivity to changes in the error of a nominal prediction.\",\"PeriodicalId\":389634,\"journal\":{\"name\":\"1997 IEEE 47th Vehicular Technology Conference. Technology in Motion\",\"volume\":\"32 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1997-05-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"1997 IEEE 47th Vehicular Technology Conference. Technology in Motion\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/VETEC.1997.600440\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"1997 IEEE 47th Vehicular Technology Conference. Technology in Motion","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/VETEC.1997.600440","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Analysis of parameter sensitivity in a ray-tracing propagation environment
Ray-tracing has become increasingly popular for dense urban microcell prediction, and the results are generally better than can be obtained with other techniques, but questions remain on the sensitivity of the ray tracing algorithms to a number of parameters, including: building materials, environmental parameters, and various types of errors. A number of parameters are tested for its sensitivity to changes in the error of a nominal prediction.