The invention discloses a wavelet weighted multi-modulus blind equalization algorithm based on fractional lower order statistics (WT-FLOSWMMA), which comprises the following steps of: obtaining a channel output vector x(n) from a transmitted signal a(n) through a pulse response channel c(n); obtaining an input signal y(n) of an orthogonal wavelet transformer (WT) by using [alpha] stable distribution channel noise w(n) and the channel output vector x(n); and processing y(n) by the orthogonal WT to obtain the input R(n) of an equalizer f(n), wherein the output of the equalizer f(n) is z(n), and meantime the WT-FLOSWMMA error and the iterative formula of a weight vector are as shown in the specification. In the invention, the [alpha] stable noise is suppressed by use of the fractional lower order statistics, the prior information of the signal source is sufficiently used, and the modulus is corrected adaptively in the iteration process; and moreover, orthogonal wavelet transformation is performed on the input signal of the equalizer, self correlation of the input signal is recued, and the equalizing performance is improved.