Subspace-based semi-blind channel estimation for SIMO-OFDM systems by using antenna diversity

A new approach to semi-blind channel estimation for single-input multiple-output orthogonal frequency division multiplexing (SIMO-OFDM) systems is proposed. The proposed method exploits both the antenna diversity and the statistical property of the received signal. By exploiting the receive antenna diversity, the residual error is reduced. In addition, we provide a method resolving ambiguity by using pilot symbols. Simulation results show that the proposed method results in better performance compared with the existing methods.