Maximum Likelihood Method for RFID Tag Set Cardinality Estimation using Multiple Independent Reader Sessions
نویسندگان
چکیده
In this paper, Radio Frequency IDentification (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.
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