DocumentCode :
2946977
Title :
A combined belief propagation and mean field algorithm for soft carrier phase estimation
Author :
Senst, Martin ; Ascheid, Gerd
Author_Institution :
Inst. for Commun. Technol. & Embedded Syst., RWTH Aachen Univ., Aachen, Germany
fYear :
2011
fDate :
6-9 Nov. 2011
Firstpage :
512
Lastpage :
516
Abstract :
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.
Keywords :
belief maintenance; inference mechanisms; iterative methods; phase estimation; radio receivers; statistical analysis; belief propagation; generic message passing; iterative algorithm; mean field algorithm; multiple inference framework; phase estimator; phase uncertainty; soft carrier phase estimation; statistical inference; wireless digital receiver; Approximation methods; Decoding; Equations; Inference algorithms; Message passing; Phase estimation; Receivers;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communication Systems (ISWCS), 2011 8th International Symposium on
Conference_Location :
Aachen
ISSN :
2154-0217
Print_ISBN :
978-1-61284-403-9
Electronic_ISBN :
2154-0217
Type :
conf
DOI :
10.1109/ISWCS.2011.6125359
Filename :
6125359
Link To Document :
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