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Communication Dans Un Congrès Année : 2010

Turbo equalization of two-dimensional intersymbol interference channels using Gaussian belief propagation

Résumé

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
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Dates et versions

hal-01354805 , version 1 (19-08-2016)

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Frederic Lehmann. Turbo equalization of two-dimensional intersymbol interference channels using Gaussian belief propagation. ICASSP 2010 : IEEE International Conference on Acoustics, Speech, and Signal Processing, Mar 2010, Dallas, United States. pp.3182 - 3185, ⟨10.1109/ICASSP.2010.5496072⟩. ⟨hal-01354805⟩
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