A Fast Constant Modulus Algorithm for Blind Equalization

In the past decade, equalizers were employed to cancel the intersymbol interference introduced by the channel. Meanwhile, blind equalizers were proposed to maintain a higher channel capacity than that of an equalizer with supervised training. However, the main drawback of blind equalization is the low speed of convergence. This paper proposed a novel equalizer for blind estimation with QAM constellation. Simulation results show that our proposed equalizer can achieve a faster convergence, smaller steady state errors and lower computational complexity when compared to those traditional blind equalizers