IMPROVING MIMO CHANNEL EQUALIZATION WITH INDEPENDENT COMPONENT ANALYSIS

The blind equalization of multi-input multi-output (MIMO) digi-tal communication channels is addressed in this paper. A variety of error sources (e.g., stemming from finite sample size) can cause considerable discrepancies between practical performance and the-oretical limits of multichannel linear equalizers. In this contribu-tion, we show that a post-detection strategy based on the statistical tool of independent component analysis (ICA) can notably alleviate these detrimental effects. Thanks to the time redundancies intro-duced by the wideband multipath channel, ICA-assisted detection can bring MIMO equalization performance closer to the theoretical bounds without the excessive computational complexity of extract-ing all signal components. 1