Space-Time Blind Equalization under alpha-Stable Noise Environment

The presence of non-Gaussian impulsive noise in wireless system can degrade the performance of existing equalizers and signal detectors. In this paper, the problem of blind source separation and equalization for multiple input/multiple output systems in heavy-tailed impulsive noise is studied. A generalized multi-user constant modulus cost function by employing the fractional lower-order constant modulus property of the equalizer input signals as well as the fractional lower-order cross-correlations between them is proposed. The associated adaptive blind equalization algorithm based on a stochastic gradient descent method is defined as fractional lower-order multi-user constant modulus algorithm (FLOSMUCMA). Computer simulations are presented to illustrate the performance of the new algorithm.