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Thermodynamics-based cognitive demodulation for `THz Torch' wireless communications links
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![]() | Published version | 3.79 MB | Adobe PDF | View/Open | |
![]() | Supporting information | 88.34 kB | Adobe PDF | View/Open | |
2020_04_SREP_Supplementary Movie.mov | Supporting information | 15.57 MB | Video Quicktime | View/Open | |
Title: | Thermodynamics-based cognitive demodulation for `THz Torch' wireless communications links |
Authors: | Ren, H Lucyszyn, S |
Item Type: | Journal Article |
Abstract: | The low-cost ‘THz Torch’ technology, which exploits the thermal infrared spectrum (ca. 10 to 100 THz), was recently introduced to provide secure low data rate communications links across short distances. In this paper, a thermodynamics-based approach is proposed for greatly enhancing the sensitivity of detection with non-stationary thermal radiation, generated by thermal emitters that have been modulated well beyond their thermal time constants. Here, cognitive demodulation is employed and, unlike all previous demonstrators, allows truly asynchronous operation by dynamically predicting the thermal transients for the next bit to be received. The result is a five-fold increase in the reported operational figure of merit (Range × Bit Rate) for ‘THz Torch’ wireless communications links. A single-channel (2 m × 125 bps) prototype and an 8-channel frequency-division multiplexed (0.5 m × 1,000 bps) prototype are demonstrated as proof-of-principle exemplars for the enhanced method of demodulation. Measurements show superior bit error rate performance with an increase in range and bit rate, when compared with conventional threshold detection. This work represents a paradigm shift in thermal-based modulation-demodulation of digital data, and offers a practical solution for the implementation of future ubiquitous secure ‘THz Torch’ wireless communications links; as well as other applications. |
Issue Date: | 10-Apr-2020 |
Date of Acceptance: | 10-Mar-2020 |
URI: | http://hdl.handle.net/10044/1/78749 |
DOI: | 10.1038/s41598-020-62234-1 |
ISSN: | 2045-2322 |
Publisher: | Nature Publishing Group |
Journal / Book Title: | Scientific Reports |
Volume: | 10 |
Copyright Statement: | © The Author(s) 2020. This 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 Cre-ative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not per-mitted 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 license, visit http://creativecommons.org/licenses/by/4.0/. |
Publication Status: | Published |
Open Access location: | https://www.nature.com/articles/s41598-020-62234-1.pdf |
Article Number: | ARTN 6259 |
Appears in Collections: | Electrical and Electronic Engineering Faculty of Engineering |