Noise, Channel and Message Identification on MIMO Channels with General Noise

This work presents an application of Uncertainty Quantification (UQ) approaches to a Multiple-Input Multiple-Output (MIMO) system. The use of UQ techniques in this field is new and is one of the originalities of the paper. A second originality of this work is to furnish an efficient method to deal with non-gaussian noise, with non-zero mean. A third originality is that the method proposed allows the estimation of the noise, of the channel and the decoding of messages - the approach makes all the chain: determination of the distribution of the noise, identification of the Channel Matrix and detection of the symbols transmitted. The first step is made by using UQ techniques, which furnish the distribution of the noise, without assumption of Gaussian distribution or a mean equal to zero. A new application of UQ techniques furnishes the channel matrix. Then, the detection of symbols is performed by a method based on the determination of a selection matrix formed by lines of the identity matrix. Numerical examples show that the proposed approach is practical and efficient.