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An Acceptance Criterion for Hybrid Algebraic and Soft-input Decoding

  • In this work, we investigate a hybrid decoding approach that combines algebraic hard-input decoding of binary block codes with soft-input decoding. In particular, an acceptance criterion is proposed which determines the reliability of a candidate codeword. For many received codewords the stopping criterion indicates that the hard-decoding result is sufficiently reliable, and the costly soft-input decoding can be omitted. The proposed acceptance criterion significantly reduces the decoding complexity. For simulations we combine the algebraic hard-input decoding with ordered statistics decoding, which enables near maximum likelihood soft-input decoding for codes of small to medium block lengths.

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Metadaten
Author:Malek Safieh, Daniel Nicolas BailonORCiD, Jürgen FreudenbergerORCiDGND
URL:https://ieeexplore.ieee.org/document/9070575
DOI:https://doi.org/10.1109/IT48810.2020.9070575
ISBN:978-1-7281-5136-6
Parent Title (English):24th International Conference on Information Technology (IT), 18-22 February 2020, Zabljak, Montenegro
Publisher:IEEE
Document Type:Conference Proceeding
Language:English
Year of Publication:2020
Release Date:2021/01/04
Tag:Binary codes; Block codes; Maximum likelihood decoding
Page Number:5
Note:
Volltextzugriff für Angehörige der Hochschule Konstanz via Datenbank IEEE Xplore möglich
Institutes:Institut für Systemdynamik - ISD
DDC functional group:000 Allgemeines, Informatik, Informationswissenschaft
Relevance:Keine peer reviewed Publikation (Wissenschaftlicher Artikel und Aufsatz, Proceeding, Artikel in Tagungsband)
Open Access?:Nein
Licence (German):License LogoUrheberrechtlich geschützt