naa a22 4500 510792464 CHVBK 20180411083324.0 cr unu---uuuuu 180411e20130801xx s 000 0 eng 10.1007/s11277-012-0956-0 doi (NATIONALLICENCE)springer-10.1007/s11277-012-0956-0 Maximum Likelihood Approach for RFID Tag Set Cardinality Estimation with Detection Errors [Elektronische Daten] [Chuyen Nguyen, Kazunori Hayashi, Megumi Kaneko, Petar Popovski, Hideaki Sakai] Estimation schemes of Radio Frequency IDentification (RFID) tag set cardinality are studied in this paper using Maximum Likelihood (ML) approach. We consider the estimation problem under the model of multiple independent reader sessions with detection errors due to unreliable radio communication links and/or collisions. In every reader session, both the detection error probability and the total number of tags are estimated. In particular, after the $$R$$ -th reader session, the number of tags detected in $$j$$ ( $$j=1,2,...,R$$ ) reader sessions out of $$R$$ sessions is updated, which we call observed evidence. Then, in order to maximize the likelihood function of the number of tags and the detection error probability given the observed evidences, we propose three different estimation methods depending on how to treat the discrete nature of the tag set cardinality. The performance of the proposed methods is evaluated under different system parameters and compared with that of the conventional method via computer simulations assuming flat Rayleigh fading environments and framed-slotted ALOHA based protocol. Springer Science+Business Media New York, 2012 RFID nationallicence Tag cardinality estimation nationallicence Maximum likelihood nationallicence Detection error nationallicence Nguyen Chuyen Graduate School of Informatics, Kyoto University, Yoshida Honmachi Sakyo-ku, 606-8501, Kyoto, Japan aut Hayashi Kazunori Graduate School of Informatics, Kyoto University, Yoshida Honmachi Sakyo-ku, 606-8501, Kyoto, Japan aut Kaneko Megumi Graduate School of Informatics, Kyoto University, Yoshida Honmachi Sakyo-ku, 606-8501, Kyoto, Japan aut Popovski Petar Department of Electronic Systems, Aalborg University, Niels Jernes Vej 12, 9220, Aalborg, Denmark aut Sakai Hideaki Graduate School of Informatics, Kyoto University, Yoshida Honmachi Sakyo-ku, 606-8501, Kyoto, Japan aut Wireless Personal Communications Springer US; http://www.springer-ny.com 71/4(2013-08-01), 2587-2603 0929-6212 71:4<2587 2013 71 11277 https://doi.org/10.1007/s11277-012-0956-0 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11277-012-0956-0 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Nguyen Chuyen Graduate School of Informatics, Kyoto University, Yoshida Honmachi Sakyo-ku, 606-8501, Kyoto, Japan aut NATIONALLICENCE 700 1- Hayashi Kazunori Graduate School of Informatics, Kyoto University, Yoshida Honmachi Sakyo-ku, 606-8501, Kyoto, Japan aut NATIONALLICENCE 700 1- Kaneko Megumi Graduate School of Informatics, Kyoto University, Yoshida Honmachi Sakyo-ku, 606-8501, Kyoto, Japan aut NATIONALLICENCE 700 1- Popovski Petar Department of Electronic Systems, Aalborg University, Niels Jernes Vej 12, 9220, Aalborg, Denmark aut NATIONALLICENCE 700 1- Sakai Hideaki Graduate School of Informatics, Kyoto University, Yoshida Honmachi Sakyo-ku, 606-8501, Kyoto, Japan aut NATIONALLICENCE 773 0- Wireless Personal Communications Springer US; http://www.springer-ny.com 71/4(2013-08-01), 2587-2603 0929-6212 71:4<2587 2013 71 11277 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer