{"title":"Indoor positioning based on radio signal strength distribution modeling using mirror image method","authors":"Y. Teramoto, Akiko Sato, A. Asahara, H. Tomita","doi":"10.1145/2077357.2077361","DOIUrl":null,"url":null,"abstract":"Aiming to solve one of the serious problems of radio-signal strength (RSS) indoor positioning (namely, fluctuation of RSS values due to reflective waves), a novel indoor-positioning method based on RSS distribution modeling (called \"RSS distribution modeling using the mirror-image method,\" RD-MMI), was developed and evaluated. With RDMMI, a model of RSS distribution is created by using measured RSS and considering reflective waves. RDMMI achieves an average positioning error of 4 m, which is better than that of conventional nearest-neighbor and trilateration methods by 50 to 60%. Furthermore, it accomplishes average positioning error of 5.4 m even with a small number of non-uniformly placed RSS measurements.","PeriodicalId":164337,"journal":{"name":"International Symposium on Algorithms","volume":"72 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Symposium on Algorithms","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2077357.2077361","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
Aiming to solve one of the serious problems of radio-signal strength (RSS) indoor positioning (namely, fluctuation of RSS values due to reflective waves), a novel indoor-positioning method based on RSS distribution modeling (called "RSS distribution modeling using the mirror-image method," RD-MMI), was developed and evaluated. With RDMMI, a model of RSS distribution is created by using measured RSS and considering reflective waves. RDMMI achieves an average positioning error of 4 m, which is better than that of conventional nearest-neighbor and trilateration methods by 50 to 60%. Furthermore, it accomplishes average positioning error of 5.4 m even with a small number of non-uniformly placed RSS measurements.
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