In view of SIMO model, an adaptive MMSE blind equalization algorithm is proposed based on the nonzero delay equalizer. The method, through the relationships between the equalizer coefficients, the Variance matrices and the signal subspaces, is to extend the zerodelay equalizer to a nonzero delay equalizer. This method is different from the traditional zerodelay equalization algorithm, and can be utilized by the channels multilevel parameters for performing blind equalization to reduce the influence of the firstorder parameters of the channel on the equalization effect, and has robust to the overestimation of the channel order. In order to better adapt to the general timevarying channel environment and realize the realtime processing requirements, this paper presents a fast implementation of the algorithm by FDPM through recursive iteration. The simulation experiments show that the algorithm still has a good Mean Square Error (MSE) performance even if the signaltonoise ratio is low under the condition that the firstorder energy of the channel is small or the channel order is overestimated. In addition, the adaptive algorithm can quickly converge within a few hundred sample values.