Maximum likelihood population estimator of RFID tags with Hadamard footprint

A novel method is proposed that can estimate the tag population in radio frequency identification systems by using a Hadamard code for the sub-preamble of the tag response. We formulate the maximum likelihood estimator for the tag population using a given number of the observed footprints. In simulations, the proposed estimator performs considerably better than the conventional schemes.