This paper addresses the problem of Multiple-Input Multiple-Output (MIMO) frequency non-selective channel estimation. We develop a new method for multiple variable regression estimation based on Sup- port Vector Machines, a state-of-the-art technique within the machine learning community for regression estimation. We show how this new method, that we call M-SVR, can be effi ciently solved. The pro- posed regression method is evaluated in a MIMO system under a channel estimation scenario, showing its benefi ts in comparison to previous proposals when non linearities are present in either the transmitter or the receiver sides of the MIMO system.

SVM Multiregression for Non Linear.pdf

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