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Coded-GFDM for Reliable Communication in Underwater Acoustic Channels
The performance of the coded generalized frequency division multiplexing (GFDM) transceiver has been evaluated in a shallow underwater acoustic channel (UAC). Acoustic transmission is the scheme of choice for communication in UAC since radio waves suffer from absorption and light waves scatter. Alth...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9003091/ https://www.ncbi.nlm.nih.gov/pubmed/35408253 http://dx.doi.org/10.3390/s22072639 |
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author | Murad, Mohsin Tasadduq, Imran A. Otero, Pablo |
author_facet | Murad, Mohsin Tasadduq, Imran A. Otero, Pablo |
author_sort | Murad, Mohsin |
collection | PubMed |
description | The performance of the coded generalized frequency division multiplexing (GFDM) transceiver has been evaluated in a shallow underwater acoustic channel (UAC). Acoustic transmission is the scheme of choice for communication in UAC since radio waves suffer from absorption and light waves scatter. Although orthogonal frequency division multiplexing (OFDM) has found its ground for multicarrier acoustic underwater communication, it suffers from high peak to average power ratio (PAPR) and out of band (OOB) emissions. We propose a coded-GFDM based multicarrier system since GFDM has a higher spectral efficiency compared to a traditional OFDM system. In doing so, we assess two block codes, namely Bose, Chaudari, and Hocquenghem (BCH) codes, Reed-Solomon (RS) codes, and several convolutional codes. We present the error performances of these codes when used with GFDM. Furthermore, we evaluate the performance of the proposed system using two equalizers: Matched Filter (MF) and Zero-Forcing (ZF). Simulation results show that among the various block coding schemes that we tested, BCH (31,6) and RS (15,3) give the best error performance. Among the convolutional codes that we tested, rate 1/4 convolutional codes give the best performance. However, the performance of BCH and RS codes is much better than the convolutional codes. Moreover, the performance of the ZF equalizer is marginally better than the MF equalizer. In conclusion, using the channel coding schemes with GFDM improves error performance manifolds thereby increasing the reliability of the GFDM system despite slightly higher complexity. |
format | Online Article Text |
id | pubmed-9003091 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-90030912022-04-13 Coded-GFDM for Reliable Communication in Underwater Acoustic Channels Murad, Mohsin Tasadduq, Imran A. Otero, Pablo Sensors (Basel) Article The performance of the coded generalized frequency division multiplexing (GFDM) transceiver has been evaluated in a shallow underwater acoustic channel (UAC). Acoustic transmission is the scheme of choice for communication in UAC since radio waves suffer from absorption and light waves scatter. Although orthogonal frequency division multiplexing (OFDM) has found its ground for multicarrier acoustic underwater communication, it suffers from high peak to average power ratio (PAPR) and out of band (OOB) emissions. We propose a coded-GFDM based multicarrier system since GFDM has a higher spectral efficiency compared to a traditional OFDM system. In doing so, we assess two block codes, namely Bose, Chaudari, and Hocquenghem (BCH) codes, Reed-Solomon (RS) codes, and several convolutional codes. We present the error performances of these codes when used with GFDM. Furthermore, we evaluate the performance of the proposed system using two equalizers: Matched Filter (MF) and Zero-Forcing (ZF). Simulation results show that among the various block coding schemes that we tested, BCH (31,6) and RS (15,3) give the best error performance. Among the convolutional codes that we tested, rate 1/4 convolutional codes give the best performance. However, the performance of BCH and RS codes is much better than the convolutional codes. Moreover, the performance of the ZF equalizer is marginally better than the MF equalizer. In conclusion, using the channel coding schemes with GFDM improves error performance manifolds thereby increasing the reliability of the GFDM system despite slightly higher complexity. MDPI 2022-03-30 /pmc/articles/PMC9003091/ /pubmed/35408253 http://dx.doi.org/10.3390/s22072639 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Murad, Mohsin Tasadduq, Imran A. Otero, Pablo Coded-GFDM for Reliable Communication in Underwater Acoustic Channels |
title | Coded-GFDM for Reliable Communication in Underwater Acoustic Channels |
title_full | Coded-GFDM for Reliable Communication in Underwater Acoustic Channels |
title_fullStr | Coded-GFDM for Reliable Communication in Underwater Acoustic Channels |
title_full_unstemmed | Coded-GFDM for Reliable Communication in Underwater Acoustic Channels |
title_short | Coded-GFDM for Reliable Communication in Underwater Acoustic Channels |
title_sort | coded-gfdm for reliable communication in underwater acoustic channels |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9003091/ https://www.ncbi.nlm.nih.gov/pubmed/35408253 http://dx.doi.org/10.3390/s22072639 |
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