This 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.

翻译：本文研究了智能反射面（IRS）辅助MISO系统中单用户的信道估计问题。比较了采用离散傅里叶变换激活模式（在每符号间隔更新）的最小方差无偏（MVU）估计器与最小均方误差（MMSE）估计器的性能。数值结果表明，与MVU估计器相比，MMSE估计器提供了超过10 dB的信噪比改善。