ChangKyeong Kim, Joon-Yong Lee, Taechong Cho, Dongbok Ki, Bong Ho Cho, Jihoon Yoon
{"title":"人类呼吸的多目标定位","authors":"ChangKyeong Kim, Joon-Yong Lee, Taechong Cho, Dongbok Ki, Bong Ho Cho, Jihoon Yoon","doi":"10.1109/ICUWB.2013.6663821","DOIUrl":null,"url":null,"abstract":"In this paper, a technique for detecting the locations of one or more persons, as well as their breath patterns, using an ultra-wideband radar sensor network, is proposed. Technical problems that occur in the estimation process, such as false detection due to indirect reflection and ambiguity problem, are introduced. Maximum-likelihood estimation is suggested as the solution to these problems and tested on 10 sets of radar measurements.","PeriodicalId":159159,"journal":{"name":"2013 IEEE International Conference on Ultra-Wideband (ICUWB)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Multi-target localization of breathing humans\",\"authors\":\"ChangKyeong Kim, Joon-Yong Lee, Taechong Cho, Dongbok Ki, Bong Ho Cho, Jihoon Yoon\",\"doi\":\"10.1109/ICUWB.2013.6663821\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a technique for detecting the locations of one or more persons, as well as their breath patterns, using an ultra-wideband radar sensor network, is proposed. Technical problems that occur in the estimation process, such as false detection due to indirect reflection and ambiguity problem, are introduced. Maximum-likelihood estimation is suggested as the solution to these problems and tested on 10 sets of radar measurements.\",\"PeriodicalId\":159159,\"journal\":{\"name\":\"2013 IEEE International Conference on Ultra-Wideband (ICUWB)\",\"volume\":\"4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-11-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 IEEE International Conference on Ultra-Wideband (ICUWB)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICUWB.2013.6663821\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE International Conference on Ultra-Wideband (ICUWB)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICUWB.2013.6663821","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In this paper, a technique for detecting the locations of one or more persons, as well as their breath patterns, using an ultra-wideband radar sensor network, is proposed. Technical problems that occur in the estimation process, such as false detection due to indirect reflection and ambiguity problem, are introduced. Maximum-likelihood estimation is suggested as the solution to these problems and tested on 10 sets of radar measurements.
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