ML detection based SISO Chipless RFID tag reading

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.