Aiming at the effects of slow convergence speed and large computational loads of nonlinear satellite channel Volterra blind equalization system

a nonlinear satellite channel blind equalization algorithm based on multiwavelet double transformation is proposed.In the proposed algorithm

Volterra equalizer of the nonlinear satellite channel is replaced with Wiener equalizer to reduce the complexity of the equalizer structure.And the inputs of the Wiener equalizer are transformed via using balanced orthogonal multiwavelet transform to reduce the autocorrelation of the inputs.In addition

the decision feedback filter is added to the output terminal of the Wiener equalizer

as well as the inputs to the decision feedback filter are also transformed via using balanced multiwavelet transform to further reduce the their autocorrelation.The simulation results have verified the effectiveness of the proposed algorithm.