Classification of MPSK signals using M-bands wavelet and high-order cumulants

A new algorithm based on wavelet transform and high order cumulants is proposed for classification of MPSK signals. Compared with other existing algorithms, the proposed algorithm reduces the effect of additive Gaussian noise and multiplicative noise, therefore be of more generality. Theoretical analysis and computer simulation justify the effectiveness of our approach.