Improving Mimo Channel Equalization with Independent Component Analysis
نویسندگان
چکیده
The blind equalization of multi-input multi-output (MIMO) digital 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 theoretical limits of multichannel linear equalizers. In this contribution, 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 introduced by the wideband multipath channel, ICA-assisted detection can bring MIMO equalization performance closer to the theoretical bounds without the excessive computational complexity of extracting all signal components.
منابع مشابه
Blind MIMO equalization with optimum delay using independent component analysis
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