An Unsupervised LLR Estimation with unknown Noise Distribution

An Unsupervised LLR Estimation with unknown Noise Distribution

Abstract Many decoding schemes rely on the log-likelihood ratio (LLR) whose derivation depends on the knowledge of the noise distribution. In dense and heterogeneous network settings, this knowledge can be difficult to obtain from channel outputs. Besides, when interference exhibits an impulsive beh...

Full description

Bibliographic Details
Main Authors: Yasser Mestrah, Anne Savard, Alban Goupil, Guillaume Gellé, Laurent Clavier
Format: Article
Language:English
Published: SpringerOpen 2020-01-01
Series:EURASIP Journal on Wireless Communications and Networking
Subjects:
Receiver design
Log-likelihood ratio (LLR) estimation
Impulsive noise
Unsupervised learning
Online Access:https://doi.org/10.1186/s13638-019-1608-9

Internet

https://doi.org/10.1186/s13638-019-1608-9

Similar Items