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Optimal implicit channel estimation for finite state Markov communication channels

Krusevac, Zarko; Kennedy, Rodney; Rapajic, Predrag


This paper shows the existence of the optimal training, in terms of achievable mutual information rate, for an output feedback implicit estimator for finite-state Markov communication channels. A proper quantification of source redundancy information, implicitly used for channel estimation, is performed. This enables an optimal training rate to be determined as a tradeoff between input signal entropy rate reduction (source redundancy) and channel process entropy rate reduction (channel...[Show more]

CollectionsANU Research Publications
Date published: 2006
Type: Conference paper
Source: IEEE International Symposium on Information Theory
DOI: 10.1109/ISIT.2006.262135


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