Paper Info
Title
Turbo equalization of two-dimensional intersymbol interference channels using Gaussian belief propagation
Abstract
We consider the equalization of two-dimensional intersymbol interference (2D ISI) channels. We propose a message passing algorithm based on Gaussian belief propagation (GaBP) to perform joint decoding and equalization. While in existing 2D equalizers the complexity is exponential in the length of the state-space, the complexity is only polynomial for the proposed algorithm. This enables to handle 2D channels with long memory with a tractable computational complexity.
Year
DOI
Venue
2010
10.1109/ICASSP.2010.5496072
Acoustics Speech and Signal Processing
Keywords
Field
DocType
Gaussian processes,belief maintenance,computational complexity,equalisers,intersymbol interference,message passing,telecommunication channels,telecommunication computing,2D intersymbol interference channels,Gaussian belief propagation,joint decoding,joint equalization,message passing,tractable computational complexity,turbo equalization,Gaussian belief propagation,intersymbol interference,turbo equalization,two- dimensional channels
Mathematical optimization,Intersymbol interference,Equalization (audio),Computer science,Algorithm,Theoretical computer science,Gaussian,Gaussian process,Decoding methods,Additive white Gaussian noise,Computational complexity theory,Belief propagation
Conference
ISSN
ISBN
Citations 
1520-6149 E-ISBN : 978-1-4244-4296-6
978-1-4244-4296-6
1
PageRank 
References 
Authors
0.36
3
1
Name
Order
Citations
PageRank
Frédéric Lehmann153.17