A maximum entropy approach to OFDM channel estimation

Details A maximum entropy approach to OFDM channel estimation A maximum entropy approach to OFDM channel estimation

2008-11-05

arxiv.org/abs/0811.0778v1

Computer Science

Information Theory

15 pages, 11 figures

Scientific paper

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.

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