Maximum Likelihood decoding for non-synchronized UHF RFID tags

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(Konferenzbeitrag)


Details zur Publikation

Autorinnen und Autoren: Kenawy H, Elsaid Ibrahim HAA, Robert J, Heuberger A
Verlag: Institute of Electrical and Electronics Engineers Inc.
Jahr der Veröffentlichung: 2016
Seitenbereich: 89-92
ISBN: 9781509016907


Abstract


In Radio Frequency Identification (RFID) systems, when multiple tags reply at the same slot, collision occurs. The tags reply are with different data and also different rates. The rate tolerance between the tags reply reaches to 22% of the nominal value of the rate which plays a significant role for the stability and the efficiency of RFID systems. This variation in the tags reply rates inhibit to use the ML receiver which is very sensitive to the rate variation between collided replies. This paper focuses on decoding the collided tags with different rates in the RFID systems using Maximum Likelihood (ML) receiver. A new algorithm is proposed to make the ML receiver is insensitive the rate tolerance between the tags reply. The simulations show that the dual receive antennas ML receiver that is used to recover two collided tags over Rayleigh channel is not affected by the rate tolerance. The receiver performance is compared with the previous proposed dual antenna receivers, Minimum Mean Square Error (MMSE), Zero Forcing (ZF), and Ordered SUccessive Cancellation (OSUC). The proposed receiver outperforms the other types of receivers as it has the largest diversity gain.



FAU-Autorinnen und Autoren / FAU-Herausgeberinnen und Herausgeber

Elsaid Ibrahim, Hazem Abdelaal Ahmed
Lehrstuhl für Informationstechnik mit dem Schwerpunkt Kommunikationselektronik (Stiftungslehrstuhl)
Heuberger, Albert Prof. Dr.-Ing.
Lehrstuhl für Informationstechnik mit dem Schwerpunkt Kommunikationselektronik (Stiftungslehrstuhl)
Kenawy, Hamed
Lehrstuhl für Informationstechnik mit dem Schwerpunkt Kommunikationselektronik (Stiftungslehrstuhl)
Robert, Jörg
Lehrstuhl für Informationstechnik mit dem Schwerpunkt Kommunikationselektronik (Stiftungslehrstuhl)


Zitierweisen

APA:
Kenawy, H., Elsaid Ibrahim, H.A.A., Robert, J., & Heuberger, A. (2016). Maximum Likelihood decoding for non-synchronized UHF RFID tags. In Proceedings of the IEEE Topical Conference on Wireless Sensors and Sensor Networks, WiSNet 2016 (pp. 89-92). Institute of Electrical and Electronics Engineers Inc..

MLA:
Kenawy, Hamed, et al. "Maximum Likelihood decoding for non-synchronized UHF RFID tags." Proceedings of the IEEE Topical Conference on Wireless Sensors and Sensor Networks, WiSNet 2016 Institute of Electrical and Electronics Engineers Inc., 2016. 89-92.

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Zuletzt aktualisiert 2019-23-07 um 07:32