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

机译:使用多个独立读取器会话的RFID标签集基数估计的最大似然法

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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.
机译:本文在具有不可靠无线通信链路的多个独立阅读器会话模型下,考虑了射频识别(RFID)标签集基数估计问题,其中可能发生传输错误。在第R个阅读器会话之后,将更新在j(j = 1,2,...,R)个阅读器会话中检测到的标签数量,我们将其称为观察到的证据。然后,为了在给定观察证据的情况下最大化标签数量的似然函数和传输错误概率,我们根据如何对待标签集基数的离散性质,提出了三种不同的估计方法。计算机仿真结果证明了该方法的有效性。

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