Maximum Likelihood Method for RFID Tag Set Cardinality Estimation using Multiple Independent Reader Sessions

摘要：

In this paper, Radio Frequency IDenti.cation (RFID) tag set cardinality estimation problem is considered under the model of multiple independent reader sessions with unreliable radio communication links in which transmission errors might occur. After the R-th reader session, the number of tags detected in j (j = 1, 2, ...,R) reader sessions is updated, which we call observed evidence. Then, in order to maximize the likelihood function of the number of tags and the transmission error probability given the observed evidences, we propose three different estimation methods depending on how to treat the discrete nature of tag set cardinality. Computer simulation results demonstrate the effectiveness of the proposed method.

作者: Chuyen T. NGUYEN Kazunori HAYASHI Megumi KANEKO Petar POPOVSKI Hideaki SAKAI

作者单位: Graduate School of Informatics, Kyoto University, Kyoto, Japan Department of Electronic Systems, Aalborg University, Aalborg, Denmark

会议类型: 国际会议

会议名称: 2011亚太信号与信息处理协会年度峰会(APSIPAASC 2011)

会议地点: 西安

会议语种:英文

页码: 1-4

在线出版日期: 2011-10-18（万方平台首次上网日期，不代表论文的发表时间）