SVM Multiregression for Non Linear

Channel Estimation in Multiple-Input

Multiple-Output Systems

在多输入多输出系统中的SVM多元回归非线性逼近-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.