Cost function of blind channel equalization

The use of constant modulus algorithm (CMA) and correntropy in blind adaptive equalization requires choosing a suitable cost function such that the FIR equalizer removes sufficient intersymbol interference (ISI). A correntropy cost function based on minimizing the absolute difference between the correntropy of equalizer output and source symbol is proposed and compared with conventional CMA and correntropy cost functions. Simulation study on both Gaussian and impulsive additive noise scenarios show improved overall performance.