Improving Sensing Measurements Using Laser Self-Mixing Interference in Non-Line-of-Sight Optical Communication via Systems

Objective: Mobile robots leverage laser self-mixing interference for sensing in non-line-of-sight optical communications, allowing for a wide range of measures such as distance, velocity, and displacement, while also improving accuracy and flexibility in robotic navigation and interaction. Interfere...

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Main Authors: Sichen Lu, Changying Guo
Format: Article
Language:English
Published: Ital Publication 2024-12-01
Series:HighTech and Innovation Journal
Subjects:
Online Access:https://hightechjournal.org/index.php/HIJ/article/view/490
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author Sichen Lu
Changying Guo
author_facet Sichen Lu
Changying Guo
author_sort Sichen Lu
collection DOAJ
description Objective: Mobile robots leverage laser self-mixing interference for sensing in non-line-of-sight optical communications, allowing for a wide range of measures such as distance, velocity, and displacement, while also improving accuracy and flexibility in robotic navigation and interaction. Interference, restricted range, and sensitivity to environmental factors are challenges that affect the precision and reliability of sensing measures. Methods: This paper presents a detailed introduction to theory and various algorithms of channel estimation in wireless communication. Combining the characteristics of UV channels, a channel estimation algorithm suitable for UV optical communication systems is selected, and relevant simulations are carried out. A theoretical analysis of channel estimation SNR and a proposed angle measurement method using laser self-mixing interference are discussed. A device is designed to implement this method, utilizing self-mixing interferometric fringe counting to measure rotation displacement in mobile robots. Findings: In results, sensing measurement and modality are employed for SNR and robotic localization performance. Distance (15 dB), velocity (12 dB), and object shape (18 dB) in SNR and laser range finder (5 cm), camera (15 cm), and LiDAR (3 cm) in robotic localization performance. Conclusion: Incorporating laser self-mixing interference effects into non-line-of-sight optical communication for mobile robotics enhances sensing precision across diverse measurements, fostering robustness and adaptability in dynamic environments.   Doi: 10.28991/HIJ-2024-05-04-012 Full Text: PDF
format Article
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institution Kabale University
issn 2723-9535
language English
publishDate 2024-12-01
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spelling doaj-art-25a6bf880a0644de929aa486962396e62024-12-30T12:24:57ZengItal PublicationHighTech and Innovation Journal2723-95352024-12-01541038105410.28991/HIJ-2024-05-04-012228Improving Sensing Measurements Using Laser Self-Mixing Interference in Non-Line-of-Sight Optical Communication via SystemsSichen Lu0Changying Guo1Department of Computer and Information Science, College of Bardon Jilin Normal University, Siping, 136523,State Grid Gansu Electric Power Research Institute, Lanzhou 730070,Objective: Mobile robots leverage laser self-mixing interference for sensing in non-line-of-sight optical communications, allowing for a wide range of measures such as distance, velocity, and displacement, while also improving accuracy and flexibility in robotic navigation and interaction. Interference, restricted range, and sensitivity to environmental factors are challenges that affect the precision and reliability of sensing measures. Methods: This paper presents a detailed introduction to theory and various algorithms of channel estimation in wireless communication. Combining the characteristics of UV channels, a channel estimation algorithm suitable for UV optical communication systems is selected, and relevant simulations are carried out. A theoretical analysis of channel estimation SNR and a proposed angle measurement method using laser self-mixing interference are discussed. A device is designed to implement this method, utilizing self-mixing interferometric fringe counting to measure rotation displacement in mobile robots. Findings: In results, sensing measurement and modality are employed for SNR and robotic localization performance. Distance (15 dB), velocity (12 dB), and object shape (18 dB) in SNR and laser range finder (5 cm), camera (15 cm), and LiDAR (3 cm) in robotic localization performance. Conclusion: Incorporating laser self-mixing interference effects into non-line-of-sight optical communication for mobile robotics enhances sensing precision across diverse measurements, fostering robustness and adaptability in dynamic environments.   Doi: 10.28991/HIJ-2024-05-04-012 Full Text: PDFhttps://hightechjournal.org/index.php/HIJ/article/view/490mobile robotsdisplacement measurementnon-line-of-sight optical communication signal processingsystems, channel estimationoptical feedback self-mixing interferenceangle measurement.
spellingShingle Sichen Lu
Changying Guo
Improving Sensing Measurements Using Laser Self-Mixing Interference in Non-Line-of-Sight Optical Communication via Systems
HighTech and Innovation Journal
mobile robots
displacement measurement
non-line-of-sight optical communication signal processing
systems, channel estimation
optical feedback self-mixing interference
angle measurement.
title Improving Sensing Measurements Using Laser Self-Mixing Interference in Non-Line-of-Sight Optical Communication via Systems
title_full Improving Sensing Measurements Using Laser Self-Mixing Interference in Non-Line-of-Sight Optical Communication via Systems
title_fullStr Improving Sensing Measurements Using Laser Self-Mixing Interference in Non-Line-of-Sight Optical Communication via Systems
title_full_unstemmed Improving Sensing Measurements Using Laser Self-Mixing Interference in Non-Line-of-Sight Optical Communication via Systems
title_short Improving Sensing Measurements Using Laser Self-Mixing Interference in Non-Line-of-Sight Optical Communication via Systems
title_sort improving sensing measurements using laser self mixing interference in non line of sight optical communication via systems
topic mobile robots
displacement measurement
non-line-of-sight optical communication signal processing
systems, channel estimation
optical feedback self-mixing interference
angle measurement.
url https://hightechjournal.org/index.php/HIJ/article/view/490
work_keys_str_mv AT sichenlu improvingsensingmeasurementsusinglaserselfmixinginterferenceinnonlineofsightopticalcommunicationviasystems
AT changyingguo improvingsensingmeasurementsusinglaserselfmixinginterferenceinnonlineofsightopticalcommunicationviasystems