In order to overcome the slow convergence rate and large mean square error (MSE) of Constant Modulus Algorithm (CMA), an equalizer and its output are expressed by a family of orthogonal wavelet packet functions. Then, a Super-Exponential Iterative Blind Equalization Algorithm Based on Orthogonal Wavelet Packet Transform (WPT-SEI) is proposed, via the analyzing of the futures of wavelet packet transform and Super-Exponential Iterative algorithm (SEI). The convergence rate of the proposed algorithm can be improved via full using the de-correlation ability of orthogonal wavelet packet transform and the whiten ability of SEI. And the computational complexity increases a litter for the fast wavelet packet transform. The efficiency of the proposed algorithm is proved by computer simulation in underwater acoustic channels.