Blind Polynomial Channel Estimation for OFDM Systems

Orthogonal frequency division multiplexing (OFDM) modulation is widely used in communication systems to meet the demand for ever increasing data rates. Characteristics of the transmitted signal can be employed for blind channel identification. In this paper, we propose a blind polynomial channel estimation algorithm using noncircular second-order statistics of the received OFDM signal. A set of polynomial equations are then formulated based on the correlation of the received signal. The solution of these equations provides an estimate of the channel coefficients. Results are presented which show that the proposed algorithm provides performance comparable to the least minimum mean square error (LMMSE) solution with low computational complexity. The performance is near-optimal for large OFDM systems.