Carrier phase recovery of LDPC-coded systems based on the likelihood difference algorithm

Abstract The problem of blind phase offset recovery of low density parity-check (LDPC)-coded systems is considered in this paper. We propose a new algorithm of phase offset estimation that involves the computation and maximization of a likelihood difference (LD)-based cost function calculated from t...

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Main Authors: Rodrigue Imad, Sebastien Houcke
Format: Article
Language:English
Published: SpringerOpen 2023-01-01
Series:EURASIP Journal on Advances in Signal Processing
Subjects:
Online Access:https://doi.org/10.1186/s13634-023-00975-7
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author Rodrigue Imad
Sebastien Houcke
author_facet Rodrigue Imad
Sebastien Houcke
author_sort Rodrigue Imad
collection DOAJ
description Abstract The problem of blind phase offset recovery of low density parity-check (LDPC)-coded systems is considered in this paper. We propose a new algorithm of phase offset estimation that involves the computation and maximization of a likelihood difference (LD)-based cost function calculated from the parity-check matrix of the code. We show in this paper that the new cost function has a simplified form compared to another algorithm proposed in the literature and presents similar estimation performance. Mean squared error (MSE) curves show very good performance of the proposed phase offset estimation algorithm, even at low signal-to-noise ratios.
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spelling doaj.art-c7727672d54f46c18bff9d8285ccefff2023-02-05T12:26:56ZengSpringerOpenEURASIP Journal on Advances in Signal Processing1687-61802023-01-012023111310.1186/s13634-023-00975-7Carrier phase recovery of LDPC-coded systems based on the likelihood difference algorithmRodrigue Imad0Sebastien Houcke1Department of Computer Engineering, University of BalamandMathematical and Electrical Engineering (MEE) Department, IMT AtlantiqueAbstract The problem of blind phase offset recovery of low density parity-check (LDPC)-coded systems is considered in this paper. We propose a new algorithm of phase offset estimation that involves the computation and maximization of a likelihood difference (LD)-based cost function calculated from the parity-check matrix of the code. We show in this paper that the new cost function has a simplified form compared to another algorithm proposed in the literature and presents similar estimation performance. Mean squared error (MSE) curves show very good performance of the proposed phase offset estimation algorithm, even at low signal-to-noise ratios.https://doi.org/10.1186/s13634-023-00975-7Phase offset estimationLDPC codesLikelihood functionsParity-check matrix
spellingShingle Rodrigue Imad
Sebastien Houcke
Carrier phase recovery of LDPC-coded systems based on the likelihood difference algorithm
EURASIP Journal on Advances in Signal Processing
Phase offset estimation
LDPC codes
Likelihood functions
Parity-check matrix
title Carrier phase recovery of LDPC-coded systems based on the likelihood difference algorithm
title_full Carrier phase recovery of LDPC-coded systems based on the likelihood difference algorithm
title_fullStr Carrier phase recovery of LDPC-coded systems based on the likelihood difference algorithm
title_full_unstemmed Carrier phase recovery of LDPC-coded systems based on the likelihood difference algorithm
title_short Carrier phase recovery of LDPC-coded systems based on the likelihood difference algorithm
title_sort carrier phase recovery of ldpc coded systems based on the likelihood difference algorithm
topic Phase offset estimation
LDPC codes
Likelihood functions
Parity-check matrix
url https://doi.org/10.1186/s13634-023-00975-7
work_keys_str_mv AT rodrigueimad carrierphaserecoveryofldpccodedsystemsbasedonthelikelihooddifferencealgorithm
AT sebastienhoucke carrierphaserecoveryofldpccodedsystemsbasedonthelikelihooddifferencealgorithm