Resolving ambiguities in subspace-based blind receiver for MIMO channels

Abstract

The problem of subspace based blind channel estimation in FIR-MIMO systems is addressed in this paper. In such blind MIMO methods, some ambiguities always remain. They may be expressed in a form of full rank mixing matrix. In this paper, a two-stage receiver algorithm solving these ambiguities is proposed. The FIR-MIMO model is identified first followed by equalization stage. The ambiguity remaining after the equalizer is modeled as an instantaneous MIMO system. This system is solved using independent component analysis (ICA) using the assumption that transmitted sequences is statistically independent and non-Gaussian.