Deterministic blind OFDM channel estimation using receiver diversity

We investigate non data-aided channel estimation for orthogonal frequency division multiplexing (OFDM) systems without cyclic prefix. By exploiting channel diversity using only two receive antennas, a blind deterministic algorithm is proposed. Identifiability conditions are derived that guarantee the channel to be identified up to a scalar ambiguity. This diversity-based algorithm is computationally efficient and does not have any restriction on the input symbols with regard to their constellation or their statistical properties. Simulation results illustrate the performance of the proposed algorithm.