Senyuva, Rifat Volkan2024-07-122024-07-122023979-8-3503-4355-72165-060810.1109/SIU59756.2023.102240322-s2.0-85173503993https://doi.org/10.1109/SIU59756.2023.10224032https://hdl.handle.net/20.500.12415/738931st IEEE Conference on Signal Processing and Communications Applications (SIU) -- JUL 05-08, 2023 -- Istanbul Tech Univ, Ayazaga Campus, Istanbul, TURKEYThis paper considers the channel estimation of a single user in a MISO system with an intelligent reflecting surface (IRS). The performances of the minimum variance unbiased (MVU) and minimum mean square error (MMSE) estimators using the discrete Fourier transform activation pattern for the IRS, updated at every symbol interval, are compared. Numerical results show that the MMSE estimator provides over 10 dB SNR improvement compared to the MVU estimator.trinfo:eu-repo/semantics/openAccessReflective Intelligent SurfacesChannel EstimationMinimum Variance Unbiased EstimatorMinimum Mean Squared Error EstimatorConference ObjectN/AWOS:001062571000238N/A