Blind multipath channel equalization based on eigenvector decomposition
A new direct blind equalization algorithm is presented in this paper. It relies on the auto-correlation matrix of the channel, and adopts its eigenvector decomposition for designing an equalizer, which exploits the correlation characteristics of the channel. The proposed equalization is insensitive to the inaccuracy of the channel order estimation, and its data sequence length required for estimating the channel's correlation matrix is shorter than that of the other eigenvector decomposition methods that assumed that the channel order was known or had been estimated Simulation results show that this algorithm is capable of acquiring a good performance under lower SNR in a communication system employing 16-QAM modulation.
simulation communication