A Theoretical Framework for Iterative Synchronization Based on the Sum-Product and the Expectation-Maximization Algorithms

This paper deals with maximum-likelihood (ML) estimation of synchronization parameters for coded transmission systems. In particular, we present a unified framework based on both the sum-product (SP) algorithm and the expectation-maximization (EM) algorithm for the design of iterative synchronizers....

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Bibliographic Details
Published in:	IEEE transactions on signal processing Vol. 55; no. 5; pp. 1644 - 1658
Main Authors:	Herzet, C., Ramon, V., Vandendorpe, L.
Format:	Journal Article
Language:	English
Published:	New York, NY IEEE 01.05.2007 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithm design and analysis Algorithms Applied sciences Bit error rate Carriers Coding, codes Computer simulation Convolutional codes Design engineering Exact sciences and technology Expectation-maximization algorithms Information, signal and communications theory Iterative algorithms Iterative methods Maximum likelihood estimation message passing Parameter estimation Signal and communications theory Synchronism Synchronization Synchronizers Telecommunications and information theory Time measurements Timing Turbo codes Performance evaluation Convolutional code Bit error rate Iterative method Turbo code Synchronization Mean square error maximum-likelihood estimation Message passing Simulation Frequency offset Maximum likelihood Timing Iterative methods EM algorithm
ISSN:	1053-587X, 1941-0476
Online Access:	Get full text
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