Blind source separation with randomized Gram-Schmidt orthogonalization for short burst systems

A blind source separation problem for short burst systems is addressed by means of a constant modulus technique under orthogonal constraints. It is shown that a conventional Gram-Schmidt orthogonalization procedure normally exploited in similar applications may cause a non-uniform misadjustment distribution among the receiver outputs leading to an overall performance degradation. We propose a modified algorithm, based on random reordering of the weight vectors before the orthogonalization stage, and demonstrate its efficiency by means of simulations in a short burst MIMO environment.