Title :
Exploiting hidden Markov models in identifying passive UHF RFID tags
Author :
Alsaify ; Thompson, David R. ; Jia Di
Author_Institution :
Hijjawi Fac. for Eng. Technol., Yarmouk Univ., Irbid, Jordan
Abstract :
In this work, we identify RIFD tags using hidden Markov models. By isolating the tag´s transmission, we differentiate tags by their acquired transmissions. The results acquired from experimenting with hidden Markov models show that the system´s performance will improve when different observations are combined together. The proposed system yielded an accuracy of 97.67% when identifying a tag´s manufacturer and an accuracy of 98.04% when identifying individual tags.
Keywords :
UHF devices; hidden Markov models; radiofrequency identification; hidden Markov models; passive UHF RFID tag identification; passive ultra-high frequency radio frequency identification tag identification; system performance improvement; tag transmission isolation; Accuracy; Feature extraction; Hidden Markov models; Mathematical model; RFID tags; Timing; Hidden Markov Models; Identification; Passive UHF Tags; RFID;
Conference_Titel :
Radio and Wireless Symposium (RWS), 2014 IEEE
Conference_Location :
Newport Beach, CA
Print_ISBN :
978-1-4799-2298-7
DOI :
10.1109/RWS.2014.6830119
