A Fast Blind Channel Estimation Method For ZP-OFDM Systems

We develop an adaptive blind channel estimation method for an OFDM system using zero padding based on the minimum noise subspace. By applying the gradient method, a new adaptive algorithm is derived that have a number of attractive properties such as low computational complexity and good numerical stability. We extend the idea of spatial diversity for the proposed system to obtain high performance in the presence of additive channel noise. A suitable pre-FFT zero-forcing linear equalizer is also proposed. It is shown that the proposed method is computationally more efficient than existing systems and is consider as a powerful tools for the spatial diversity