ML detection based SISO Chipless RFID tag reading

Author

Divarathne, Chamath ; Karmakar, Nemai

Author_Institution

Dept. of Electr. & Comput. Syst. Eng., Monash Univ., Melbourne, VIC, Australia

fYear

2014

fDate

6-9 Oct. 2014

Firstpage

762

Lastpage

765

Abstract

Chipless RFID systems are perhaps the most eligible candidate for catering the demand of low-cost multiple item tagging in the future. Maximum Likelihood (ML) detection methods have been used in communication systems successfully and this paper investigates the possibility of using ML detection techniques for Chipless RFID tag reading. The paper contains a channel estimation technique and tag detection algorithm for the proposed single-input-single-output (SISO) based chipless RFID systems and its robustness is analyzed using Matlab simulations.

Keywords

channel estimation; maximum likelihood detection; radiofrequency identification; ML detection based SISO chipless RFID tag reading; Matlab simulations; channel estimation technique; communication systems; low-cost multiple item tagging; maximum likelihood detection methods; single-input-single-output based chipless RFID systems; tag detection algorithm; Channel estimation; MATLAB; MIMO; Noise; Radiofrequency identification; Resonator filters; Robustness; Channel estimation; Chipless RFID Systems; Maximum Likelihood detection; Tag reading;

fLanguage

English

Publisher

ieee

Conference_Titel

Microwave Conference (EuMC), 2014 44th European

Conference_Location

Rome

Type

conf

DOI

10.1109/EuMC.2014.6986546

Filename

6986546