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2021 | OriginalPaper | Buchkapitel

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

verfasst von : Lucas Nogueira Ribeiro, João César Moura Mota, Didier Le Ruyet, Eduardo Souza de Cursi

Erschienen in: Proceedings of the 5th International Symposium on Uncertainty Quantification and Stochastic Modelling

Verlag: Springer International Publishing

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Abstract

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.

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Metadaten
Titel
Noise, Channel and Message Identification on MIMO Channels with General Noise
verfasst von
Lucas Nogueira Ribeiro
João César Moura Mota
Didier Le Ruyet
Eduardo Souza de Cursi
Copyright-Jahr
2021
DOI
https://doi.org/10.1007/978-3-030-53669-5_21

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