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A combined belief propagation and mean field algorithm for soft carrier phase estimation

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2 Author(s)
Senst, M. ; Inst. for Commun. Technol. & Embedded Syst., RWTH Aachen Univ., Aachen, Germany ; Ascheid, G.

We consider the problem of carrier phase estimation in a wireless digital receiver. Starting from a generic message passing framework, we derive an iterative algorithm which combines the Belief Propagation (BP) and the Mean Field (MF) approach for statistical inference. In particular, the computation of a soft phase estimate is based on MF, while BP is used for the derivation of a modified demapper which takes the phase uncertainty into account. Besides proposing an efficient phase estimator, this paper also serves as a demonstration of the practical relevance of algorithms that are rooted in multiple inference frameworks.

Published in:

Wireless Communication Systems (ISWCS), 2011 8th International Symposium on

Date of Conference:

6-9 Nov. 2011