Optimal implicit channel estimation for finite state Markov communication channels
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Krusevac, Zarko; Kennedy, Rodney; Rapajic, Predrag
Description
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]
Collections | ANU Research Publications |
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Date published: | 2006 |
Type: | Conference paper |
URI: | http://hdl.handle.net/1885/28716 |
Source: | IEEE International Symposium on Information Theory |
DOI: | 10.1109/ISIT.2006.262135 |
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