Title :
A collision avoidance methodology for chipless RFID tags
Author :
Azim, R.-E. ; Karmakar, Nemai
Author_Institution :
Dept. of Electr. & Comput. Syst. Eng., Monash Univ., Melbourne, VIC, Australia
Abstract :
This paper proposes a new anti-collision algorithm for simultaneous interrogation of multiple chipless RFID tags and decoding their IDs. Linear Frequency Modulated (LFM) signal is used as the interrogation signal. Received signal is a summation of overlapping LFM signals from multiple tags. After processing the received signal with the proposed algorithm, IDs of individual tags are identified. It can be used as an effective collision avoidance technique for the frequency spectral based chipless RFID tags.
Keywords :
decoding; frequency modulation; radiofrequency identification; telecommunication congestion control; ID decoding; anti-collision algorithm; collision avoidance methodology; frequency spectral based chipless RFID tags; interrogation signal; linear frequency modulated signal; multiple chipless RFID tags; signal processing; Antennas; Chirp; Fourier transforms; Frequency modulation; RFID tags; Time frequency analysis; Fourier Transform; RFID; Signal analysis; chirp; collision-avoidance; delay lines;
Conference_Titel :
Microwave Conference Proceedings (APMC), 2011 Asia-Pacific
Conference_Location :
Melbourne, VIC
Print_ISBN :
978-1-4577-2034-5
