Arijit Das, Anthony Quinn. A Variational Bayes Approach to Decoding in a Phase-uncertain Digital Receiver


Natural Sciences / Mathematics / Statistics

Submitted on: Aug 18, 2012, 20:26:13

Description: This paper presents a Bayesian approach to symbol and phase inference in a phase-unsynchronized digital receiver. It primarily extends [Quinn 2011] to the multi-symbol case, using the variational Bayes (VB) approximation to deal with the combinatorial complexity of the phase inference in this case. The work provides a fully Bayesian extension of the EM-based framework underlying current turbo-synchronization methods, since it induces a von Mises prior on the time-invariant phase parmeter. As a result, we achieve tractable iterative algorithms with improved robustness in low SNR regimes, compared to the current EM-based approaches. As a corollary to our analysis we also discover the importance of prior regularization in elegantly tackling the significant problem of phase ambiguity.

The Library of Congress (USA) reference page : http://lccn.loc.gov/cn2013300046.

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Arijit_Das__A_Variational_Bayes_Approach_to_Decoding.pdf



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