Gen Imai, Katsushi Matsuda, Hiromi Takahata, M. Okada
{"title":"Particle filter-assisted positioning method for identifying RFID-tag implanted in the organism","authors":"Gen Imai, Katsushi Matsuda, Hiromi Takahata, M. Okada","doi":"10.1109/MECBME.2014.6783267","DOIUrl":null,"url":null,"abstract":"This paper proposes a three-dimensional positioning method using particle filter for identifying a miniature RFID (Radio Frequency Identification) tag implanted in the organism. The RFID-based tumor marker for identifying the position and size of the tumor has been proposed. Although it is efficient in some applications, it takes a long time to point out the position because of scanning the sensor antenna for wide area of interest. Furthermore, the position is often lost due to motion of the organism. In order to find and track the RFID-tag position, this paper introduces a particle filter-assisted three-dimensional positioning method. The likelihood function, which is not only take into account the received signal power, but also the attitude and position of the sensor antenna and the motion of the RFID-tag, is applied to the particle filter to estimate the position. Computer simulation result shows that the proposed scheme is capable of estimating the three-dimensional position of the RFID-tag.","PeriodicalId":384055,"journal":{"name":"2nd Middle East Conference on Biomedical Engineering","volume":"70 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2nd Middle East Conference on Biomedical Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MECBME.2014.6783267","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This paper proposes a three-dimensional positioning method using particle filter for identifying a miniature RFID (Radio Frequency Identification) tag implanted in the organism. The RFID-based tumor marker for identifying the position and size of the tumor has been proposed. Although it is efficient in some applications, it takes a long time to point out the position because of scanning the sensor antenna for wide area of interest. Furthermore, the position is often lost due to motion of the organism. In order to find and track the RFID-tag position, this paper introduces a particle filter-assisted three-dimensional positioning method. The likelihood function, which is not only take into account the received signal power, but also the attitude and position of the sensor antenna and the motion of the RFID-tag, is applied to the particle filter to estimate the position. Computer simulation result shows that the proposed scheme is capable of estimating the three-dimensional position of the RFID-tag.