Journal
IEEE TRANSACTIONS ON SIGNAL PROCESSING
Volume 52, Issue 8, Pages 2298-2307Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSP.2004.831028
Keywords
channel estimation; MIMO systems; multivariate regression; support vector machine
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This paper addresses the problem of multiple-input multiple-output (MIMO) frequency nonselective channel estimation. We develop a, new method for multiple variable regression estimation based on Support Vector Machines (SVMs): a state-of-the-art technique within the machine learning community for regression estimation. We show how this new method, which we call M-SVR, can be efficiently applied. The proposed regression method is evaluated in a MIMO system under a channel estimation scenario, showing its benefits in comparison to previous proposals when nonlinearities are present in either the transmitter or the receiver sides of the MIMO system.
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