Decoding optical communication based on cell phone cameras
This report introduces a novel approach to decode visible light communication (VLC) using a smartphone camera. The proposed scheme employs a smartphone as a receiver to capture continuous light state variations, which remain imperceptible to the naked eye. Information conveyed in the form of alterna...
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Nanyang Technological University
2023
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sg-ntu-dr.10356-1699762023-08-18T15:43:44Z Decoding optical communication based on cell phone cameras Gu, Zixuan Arokiaswami Alphones School of Electrical and Electronic Engineering EAlphones@ntu.edu.sg Engineering::Electrical and electronic engineering This report introduces a novel approach to decode visible light communication (VLC) using a smartphone camera. The proposed scheme employs a smartphone as a receiver to capture continuous light state variations, which remain imperceptible to the naked eye. Information conveyed in the form of alternating light and dark stripes is seized by the camera, subsequently decoded by the smartphone. This research emphasizes the utilization of MATLAB for the design of an algorithm proficient in decoding these light and dark stripe data, aiming for enhanced accuracy. Then, this report also proposes a new demodulation scheme design algorithm aimed at augmenting the demodulation efficiency. This innovative method provides a new perspective in the field of visible light communication, opening avenues for efficient and user-friendly VLC decoding techniques. Master of Science (Communications Engineering) 2023-08-18T07:14:20Z 2023-08-18T07:14:20Z 2023 Thesis-Master by Coursework Gu, Z. (2023). Decoding optical communication based on cell phone cameras. Master's thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/169976 https://hdl.handle.net/10356/169976 en application/pdf Nanyang Technological University |
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Engineering::Electrical and electronic engineering Gu, Zixuan Decoding optical communication based on cell phone cameras |
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This report introduces a novel approach to decode visible light communication (VLC) using a smartphone camera. The proposed scheme employs a smartphone as a receiver to capture continuous light state variations, which remain imperceptible to the naked eye. Information conveyed in the form of alternating light and dark stripes is seized by the camera, subsequently decoded by the smartphone. This research emphasizes the utilization of MATLAB for the design of an algorithm proficient in decoding these light and dark stripe data, aiming for enhanced accuracy. Then, this report also proposes a new demodulation scheme design algorithm aimed at augmenting the demodulation efficiency. This innovative method provides a new perspective in the field of visible light communication, opening avenues for efficient and user-friendly VLC decoding techniques. |
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Arokiaswami Alphones |
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Arokiaswami Alphones Gu, Zixuan |
format |
Thesis-Master by Coursework |
author |
Gu, Zixuan |
author_sort |
Gu, Zixuan |
title |
Decoding optical communication based on cell phone cameras |
title_short |
Decoding optical communication based on cell phone cameras |
title_full |
Decoding optical communication based on cell phone cameras |
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Decoding optical communication based on cell phone cameras |
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Decoding optical communication based on cell phone cameras |
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decoding optical communication based on cell phone cameras |
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Nanyang Technological University |
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2023 |
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https://hdl.handle.net/10356/169976 |
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1779156707365093376 |