Optimizing Blind Equalization Intelligent Algorithm for Wireless Communication Systems

In digital wireless communications, blind channel equalization technique plays an important role in combating the intersymbol interference (ISI) caused by nonideal channels or multipath propagation. Convergence behaviors and design cost are two major performance evaluative features. In this paper we present a low complexity blind equalization algorithm suitable for wireless communication channels, by exploiting the signed polarity and improving the iteration version of the super-exponential algorithm for the coefficients adaptation. The proposed algorithm both reduce the computation complexity and ensure a fast speed of convergence with an acceptable steady state compared with conventional one. Computer simulation results are presented to confirm our approach.