A maximum entropy approach to OFDM channel estimation

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In this work, a new Bayesian framework for OFDM channel estimation is proposed. Using Jaynes' maximum entropy principle to derive prior information, we successively tackle the situations when only the channel delay spread is a priori known, then when it is not known. Exploitation of the time-frequency dimensions are also considered in this framework, to derive the optimal channel estimation associated to some performance measure under any state of knowledge. Simulations corroborate the optimality claim and always prove as good or better in performance than classical estimators.
15 pages, 11 figures

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Information Theory, Probability

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http://salesiana.dossiersoluciones.com/handle/123456789/173271

Consulte el texto completo en el siguiente enlace:

https://arxiv.org/abs/0811.0778
 http://arxiv.org/abs/0811.0778

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arXiv