Blind Channel Estimation for OFDM Systems Without Cyclic Prex
A subspace method is proposed for blind channel estimation in Orthogonal Frequency-Division Multiplexing (OFDM) systems over time-dispersive channel. By removing the Cyclic Prefix (CP) and training sequence, the proposed method is spectral efficient. With high data efficiency, the proposed algorithm is able to identify the channels using very few received OFDM data blocks which makes it possible candidate for wideband communication scenarios where the channel is time-invariant for only a few OFDM symbols. Computer simulations demonstrate the superior performance of the proposed algorithm over existing subspace-based methods.