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Enhanced cognitive demodulation with artificial intelligence
The low-cost ‘THz Torch’ wireless link technology is still in its infancy. Until very recently, inherent limitations with available hardware has resulted in a modest operational figure of merit performance (Range [Formula: see text] Bit Rate). However, a breakthrough was reported here by the authors...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7679423/ https://www.ncbi.nlm.nih.gov/pubmed/33219319 http://dx.doi.org/10.1038/s41598-020-77262-0 |
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author | Ren, Hang Shin, Sang-Hee Lucyszyn, Stepan |
author_facet | Ren, Hang Shin, Sang-Hee Lucyszyn, Stepan |
author_sort | Ren, Hang |
collection | PubMed |
description | The low-cost ‘THz Torch’ wireless link technology is still in its infancy. Until very recently, inherent limitations with available hardware has resulted in a modest operational figure of merit performance (Range [Formula: see text] Bit Rate). However, a breakthrough was reported here by the authors, with the introduction of ‘Cognitive Demodulation’. This bypassed the thermal time constant constraints normally associated with both the thermal emitter and sensor; allowing step-change increases in both Range and Bit Rate with direct electronic modulation. This paper concentrates on advancements to the bit error rate (BER) performance. Here, separate techniques are introduced to the demodulation software that, when combined, result in enhanced Cognitive Demodulation. A factor of more than 100 improvement in BER was demonstrated within the laboratory and approximately a 60-fold improvement in a non-laboratory environment; both at the maximum Range and Bit Rate of 2 m and 125 bps, respectively, demonstrated recently. Moreover, demodulation speed is increased by almost a factor of 10,000; allowing for real-time demodulation while easing future computational hardware requirements. In addition to these software advancements, the paper demonstrates important improvements in hardware that has brought the technology out of the laboratory, with field trials being performed within an office corridor. |
format | Online Article Text |
id | pubmed-7679423 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-76794232020-11-24 Enhanced cognitive demodulation with artificial intelligence Ren, Hang Shin, Sang-Hee Lucyszyn, Stepan Sci Rep Article The low-cost ‘THz Torch’ wireless link technology is still in its infancy. Until very recently, inherent limitations with available hardware has resulted in a modest operational figure of merit performance (Range [Formula: see text] Bit Rate). However, a breakthrough was reported here by the authors, with the introduction of ‘Cognitive Demodulation’. This bypassed the thermal time constant constraints normally associated with both the thermal emitter and sensor; allowing step-change increases in both Range and Bit Rate with direct electronic modulation. This paper concentrates on advancements to the bit error rate (BER) performance. Here, separate techniques are introduced to the demodulation software that, when combined, result in enhanced Cognitive Demodulation. A factor of more than 100 improvement in BER was demonstrated within the laboratory and approximately a 60-fold improvement in a non-laboratory environment; both at the maximum Range and Bit Rate of 2 m and 125 bps, respectively, demonstrated recently. Moreover, demodulation speed is increased by almost a factor of 10,000; allowing for real-time demodulation while easing future computational hardware requirements. In addition to these software advancements, the paper demonstrates important improvements in hardware that has brought the technology out of the laboratory, with field trials being performed within an office corridor. Nature Publishing Group UK 2020-11-20 /pmc/articles/PMC7679423/ /pubmed/33219319 http://dx.doi.org/10.1038/s41598-020-77262-0 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Ren, Hang Shin, Sang-Hee Lucyszyn, Stepan Enhanced cognitive demodulation with artificial intelligence |
title | Enhanced cognitive demodulation with artificial intelligence |
title_full | Enhanced cognitive demodulation with artificial intelligence |
title_fullStr | Enhanced cognitive demodulation with artificial intelligence |
title_full_unstemmed | Enhanced cognitive demodulation with artificial intelligence |
title_short | Enhanced cognitive demodulation with artificial intelligence |
title_sort | enhanced cognitive demodulation with artificial intelligence |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7679423/ https://www.ncbi.nlm.nih.gov/pubmed/33219319 http://dx.doi.org/10.1038/s41598-020-77262-0 |
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