Blind adaptive channel estimation for OFDM systems

Abstract

Abstract:We consider the problem of blind channel estimation in zero padding OFDM systems. For the first time, blind adaptive algorithms are proposed that identify the impulse response of the multipath channel. In particular, we develop RLS and LMS schemes that exhibit rapid convergence combined with low computational complexity and numerical stability. Both versions are obtained by properly modifying the orthogonal iteration method used in Numerical Analysis for the computation of singular vectors. With a number of simulation experiments we demonstrate the satisfactory performance of our adaptive schemes under diverse signaling conditions. Key

On the Distribution of an Effective Channel Estimator for Multi-Cell Massive MIMO

“…These schemes employ statistical properties of the transmitted signals to estimate the channels. These techniques generally employ second-order statistics of the received data without any a priori knowledge of pilot sequences or channel estimates [26], [27]. Blind estimation presents no overhead penalty (i.e., there is no need to transmit pilot sequences for training purposes) and therefore has high spectral efficiency but, however, they are only suitable for slowly time-varying channels, as they present long convergence times due to the time it takes for them to produce reliable estimates [26]- [28].…”