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.