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Approximate ML Decoding of Short Convolutional Codes Over Phase Noise Channels

Gaudio, Lorenzo and Matuz, Balazs and Ninacs, Tudor and Colavolpe, Giulio and Armando, Vanunucci (2020) Approximate ML Decoding of Short Convolutional Codes Over Phase Noise Channels. IEEE Communications Letters. IEEE - Institute of Electrical and Electronics Engineers. doi: 10.1109/LCOMM.2019.2955730. ISSN 1089-7798.

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Abstract

We propose a decoding algorithm for tail-biting convolutional codes over phase noise channels. It can be seen as a reduced complexity approximation of maximum-likelihood decoding. We target short blocks and extend the wrap-around Viterbi algorithm to trellises describing the random evolution of the phase impairment, for which we adopt two different models: a blockwise non-coherent and a blockwise Wiener channel model. Numerical results show that the performance of the proposed algorithm is within a few tenths of dB or less from maximum likelihood decoding for the setup studied in this letter.

Item URL in elib:https://elib.dlr.de/132195/
Document Type:Article
Title:Approximate ML Decoding of Short Convolutional Codes Over Phase Noise Channels
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Gaudio, LorenzoUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Matuz, BalazsUNSPECIFIEDhttps://orcid.org/0000-0002-0133-6564UNSPECIFIED
Ninacs, TudorUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Colavolpe, GiulioUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Armando, VanunucciUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Date:2020
Journal or Publication Title:IEEE Communications Letters
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
DOI:10.1109/LCOMM.2019.2955730
Publisher:IEEE - Institute of Electrical and Electronics Engineers
ISSN:1089-7798
Status:Published
Keywords:ail-biting convolutional codes, wrap-around Viterbi algorithm, phase noise, short blocks, machine-to-machine communications.
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Communication and Navigation
DLR - Research area:Raumfahrt
DLR - Program:R KN - Kommunikation und Navigation
DLR - Research theme (Project):R - Vorhaben Multimedia Satellitennetze (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of Communication and Navigation > Satellite Networks
Deposited By: Matuz, Balazs
Deposited On:10 Dec 2019 17:06
Last Modified:28 Mar 2023 23:55

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