Fourth-order cumulant-based algorithms for non-minimum phase MA system identification

The purpose of this communication is the formulation of three new linear algorithms for blind non-minimum phase MA system identification. These methods have been derived starting from new equations involving system coefficients and q-slices of the k - th order cumulant sequence of the ouput MA system. In particular, these new algorithms use only fourth-order cumulants, and thus, are specially useful when the driving system noise has symmetric probability density function and a possible additive Gaussian noisy process contaminates the system output.