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SVD based MIMO Precoding and Equalization Schemes for Realistic Channel Estimation Procedures

Abstract – Multiple-input multiple-output (MIMO) systems with precoding and equalization procedures based on the singular value decomposition (SVD) assume almost always ideal knowledge of the radio channel [5] at the transmitter and/or receiver. This paper investigates a SVD based MIMO approach considering non ideal MIMO radio channel estimation results at the transmitter. At this, the channel estimation is assumed to be erroneous with some certain estimation errors. The SVD decomposes the MIMO channel matrix into Eigenmodes, utilized for precoding at the transmitter, which own unitary character if the channel estimation is assumed to be ideal. But with more realistic channel knowledge the Eigenmodes will have no longer unitary character and the equalization scheme at the receiver and precoding scheme at the transmitter have to be redesigned under these constraints. In order to verify this scenario, different equalization schemes are investigated and compared within this paper. The non ideal MIMO channel knowledge at the transmitter has a strong impact to the precoding scheme, which can be handled by a convenient Eigenmode selection. In this process, the numbers of utilized Eigenmodes are reduced which leads to a better performance at the receiver.