{"title":"RFID室内定位系统中的随机抽样算法","authors":"Bao Xu, Wang Gang","doi":"10.1109/DELTA.2006.73","DOIUrl":null,"url":null,"abstract":"In this paper, low cost radio frequency identification (RFID) indoor location scheme is proposed by deploying RFID tags and implementing a new localization algorithm to make person holding RFID reader know where he is in real time. In this algorithm, the person's state space is represented by maintaining a set of random samples. And a localization method that can represent arbitrary distributions is proposed by using a sampling-based representation. Comparison between proposed algorithm and least square (LS) algorithm in TOA indicated that the positioning errors of the proposed algorithm are lower than LS under the nonline-of sight (NLOS) scenarios. For the case that LS is not available when less than three tags deployed, however, the proposed algorithm can keep track of person.","PeriodicalId":439448,"journal":{"name":"Third IEEE International Workshop on Electronic Design, Test and Applications (DELTA'06)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"53","resultStr":"{\"title\":\"Random sampling algorithm in RFID indoor location system\",\"authors\":\"Bao Xu, Wang Gang\",\"doi\":\"10.1109/DELTA.2006.73\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, low cost radio frequency identification (RFID) indoor location scheme is proposed by deploying RFID tags and implementing a new localization algorithm to make person holding RFID reader know where he is in real time. In this algorithm, the person's state space is represented by maintaining a set of random samples. And a localization method that can represent arbitrary distributions is proposed by using a sampling-based representation. Comparison between proposed algorithm and least square (LS) algorithm in TOA indicated that the positioning errors of the proposed algorithm are lower than LS under the nonline-of sight (NLOS) scenarios. For the case that LS is not available when less than three tags deployed, however, the proposed algorithm can keep track of person.\",\"PeriodicalId\":439448,\"journal\":{\"name\":\"Third IEEE International Workshop on Electronic Design, Test and Applications (DELTA'06)\",\"volume\":\"6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-01-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"53\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Third IEEE International Workshop on Electronic Design, Test and Applications (DELTA'06)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DELTA.2006.73\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Third IEEE International Workshop on Electronic Design, Test and Applications (DELTA'06)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DELTA.2006.73","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Random sampling algorithm in RFID indoor location system
In this paper, low cost radio frequency identification (RFID) indoor location scheme is proposed by deploying RFID tags and implementing a new localization algorithm to make person holding RFID reader know where he is in real time. In this algorithm, the person's state space is represented by maintaining a set of random samples. And a localization method that can represent arbitrary distributions is proposed by using a sampling-based representation. Comparison between proposed algorithm and least square (LS) algorithm in TOA indicated that the positioning errors of the proposed algorithm are lower than LS under the nonline-of sight (NLOS) scenarios. For the case that LS is not available when less than three tags deployed, however, the proposed algorithm can keep track of person.
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