The channel frequency response was constructed by choosing a certain number of the first estimate value which was handled by FFT interpolation. Therefore, the model mismatch error could be compensated effectively. In addition, the relationship between the mean-squared error (MSE) and the number of chosen first estimate value was analyzed by considering the influence of the noise on LS Estimation method. Thus, the optimal criterion for obtaining the optimum number of first estimate value was explored with a fuzzy algorithm. The simulations demonstrate that the fuzzy adaptive LS channel estimati...