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 abstract of this article will be published in the August 2012 issue of "Intellectual Archive Bulletin", ISSN 1929-1329.

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Arijit_Das__A_Variational_Bayes_Approach_to_Decoding.pdf



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