{"title":"一种适合分析到达波传播特性的聚类方法","authors":"H. Sawada, Y. Shoji, K. Sato","doi":"10.1109/GSMM.2008.4534663","DOIUrl":null,"url":null,"abstract":"In analyzing propagation data, It is called \"clustering\" to classify arrival rays into groups (clusters) according to ToA (time of arrival) and AoA (angle of arrival). Extracting the parameters of each cluster is useful to understand the propagation characteristics in detail, and also to design the wireless system properly. This paper discusses a new clustering method which solves the problem the conventional clustering methods have.","PeriodicalId":304483,"journal":{"name":"2008 Global Symposium on Millimeter Waves","volume":"88 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"A clustering method of arrival waves suitable for analyzing propagation characteristics\",\"authors\":\"H. Sawada, Y. Shoji, K. Sato\",\"doi\":\"10.1109/GSMM.2008.4534663\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In analyzing propagation data, It is called \\\"clustering\\\" to classify arrival rays into groups (clusters) according to ToA (time of arrival) and AoA (angle of arrival). Extracting the parameters of each cluster is useful to understand the propagation characteristics in detail, and also to design the wireless system properly. This paper discusses a new clustering method which solves the problem the conventional clustering methods have.\",\"PeriodicalId\":304483,\"journal\":{\"name\":\"2008 Global Symposium on Millimeter Waves\",\"volume\":\"88 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-04-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 Global Symposium on Millimeter Waves\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/GSMM.2008.4534663\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 Global Symposium on Millimeter Waves","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GSMM.2008.4534663","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A clustering method of arrival waves suitable for analyzing propagation characteristics
In analyzing propagation data, It is called "clustering" to classify arrival rays into groups (clusters) according to ToA (time of arrival) and AoA (angle of arrival). Extracting the parameters of each cluster is useful to understand the propagation characteristics in detail, and also to design the wireless system properly. This paper discusses a new clustering method which solves the problem the conventional clustering methods have.
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