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.
| Author: | Malek Safieh, Daniel Nicolas BailonORCiD, Jürgen FreudenbergerORCiDGND |
|---|---|
| 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 |
| Open Access?: | Nein |
| Licence (German): |  Urheberrechtlich geschützt |
