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Advances in Intelligent Optical Fiber Communication

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A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".

Deadline for manuscript submissions: 30 December 2024 | Viewed by 8560

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Special Issue Editors

Dr. Shuo Liu

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Guest Editor

Center for Advanced Laser Technology, Hebei University of Technology, Tianjin 300401, China
Interests: optical fiber communication technology; photonic crystal fiber

Dr. Guowen An

E-Mail Website
Guest Editor

Science and Technology on Electronic Test and Measurement Laboratory, North University of China, Taiyuan 030051, China
Interests: fiber-optic sensors; photonic crystal fiber
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Special Issue Information

Dear Colleagues,

The emergence of optical fiber communication technology has brought about significant changes in the scientific, technological, and social fields. Laser information technology, as an important application of laser technology represented by optical fiber communication technology, has established a framework for modern communication networks and plays an important role in information transmission. Optical fiber communication technology is important in the current Internet world and is one of the core technologies in the information age. The development of optical fiber communication technology faces many challenges and questions, such as that of how to realize a super-large-capacity optical fiber communication system, and how to build optical fiber communication systems in other scenarios. With society’s increasing demand for information transmission, optical fiber communication systems and network technologies will develop super-capacity, intelligence, and integration. Areas of research in this field include: intelligent optical networks, integration technologies and systems, and optical communication devices.

This Special Issue will focus on the latest developments and trends in optical fiber communication, and will cover the latest improvements in its theory, design, manufacturing, and application/validation. We invite authors to submit original research papers, communications, and review articles to provide useful insights into the present status of and future outlooks in this area.

Dr. Shuo Liu
Dr. Guowen An
Guest Editors

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Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Published Papers (5 papers)

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Research

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17 pages, 10796 KiB

Open AccessArticle

Research on Over-the-Horizon Perception Distance Division of Optical Fiber Communication Based on Intelligent Roadways

by Xin An, Baigen Cai and Linguo Chai

Sensors 2024, 24(1), 276; https://doi.org/10.3390/s24010276 - 03 Jan 2024

Viewed by 659

Abstract

With the construction and application of more and more intelligent networking demonstration projects, a large number of advanced roadside digital infrastructures are deployed on both sides of the intelligent road. These devices sense the road situation in real time through algorithms and transmit it to edge computing units and cloud control platforms through high-speed optical fiber transmission networks. This article proposes a cloud edge terminal architecture system based on cloud edge cooperation, as well as a data exchange protocol for cloud control basic platforms. The over-the-horizon scene division and optical fiber network communication model are verified by deploying intelligent roadside devices on the intelligent highway. At the same time, this article uses the optical fiber network communication algorithm and ModelScope large model to model inference on real-time video data. The actual data results show that the StreamYOLO (Stream You Only Look Once) model can use the Streaming Perception method to detect and continuously track target vehicles in real-time videos. Finally, the method proposed in this article was experimentally validated in an actual smart highway digital infrastructure construction project. The experimental results demonstrate the high application value and promotion prospects of the fiber optic network in the division of over the horizon perception distance in intelligent roadways construction. Full article

(This article belongs to the Special Issue Advances in Intelligent Optical Fiber Communication)

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14 pages, 3044 KiB

Open AccessArticle

Optical Diffractive Convolutional Neural Networks Implemented in an All-Optical Way

by Yaze Yu, Yang Cao, Gong Wang, Yajun Pang and Liying Lang

Sensors 2023, 23(12), 5749; https://doi.org/10.3390/s23125749 - 20 Jun 2023

Cited by 3 | Viewed by 1737

Abstract

Optical neural networks can effectively address hardware constraints and parallel computing efficiency issues inherent in electronic neural networks. However, the inability to implement convolutional neural networks at the all-optical level remains a hurdle. In this work, we propose an optical diffractive convolutional neural network (ODCNN) that is capable of performing image processing tasks in computer vision at the speed of light. We explore the application of the 4f system and the diffractive deep neural network (D

^{2}

NN) in neural networks. ODCNN is then simulated by combining the 4f system as an optical convolutional layer and the diffractive networks. We also examine the potential impact of nonlinear optical materials on this network. Numerical simulation results show that the addition of convolutional layers and nonlinear functions improves the classification accuracy of the network. We believe that the proposed ODCNN model can be the basic architecture for building optical convolutional networks. Full article

(This article belongs to the Special Issue Advances in Intelligent Optical Fiber Communication)

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8 pages, 1488 KiB

Open AccessCommunication

A Linearly Polarized Wavelength-Tunable Q-Switched Fiber Laser with a Narrow Spectral Bandwidth of 112 MHz

by Chengjie Zhu, Xuezong Yang, Yuxuan Liu, Muye Li, Yuxiang Sun, Wei You, Peng Dong, Dijun Chen, Yan Feng and Weibiao Chen

Sensors 2023, 23(11), 5128; https://doi.org/10.3390/s23115128 - 27 May 2023

Viewed by 1151

Abstract

A tunable and narrow-bandwidth Q-switched ytterbium-doped fiber (YDF) laser is investigated in this paper. The non-pumped YDF acts as a saturable absorber and, together with a Sagnac loop mirror, provides a dynamic spectral-filtering grating to achieve a narrow-linewidth Q-switched output. By adjusting an etalon-based tunable fiber filter, a tunable wavelength from 1027 nm to 1033 nm is obtained. When the pump power is 1.75 W, the Q-switched laser pulses with a pulse energy of 10.45 nJ, and a repetition frequency of 11.98 kHz and spectral linewidth of 112 MHz are obtained. This work paves the way for the generation narrow-linewidth Q-switched lasers with tunable wavelengths in conventional ytterbium, erbium, and thulium fiber bands to address critical applications such as coherent detection, biomedicine, and nonlinear frequency conversion. Full article

(This article belongs to the Special Issue Advances in Intelligent Optical Fiber Communication)

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13 pages, 8317 KiB

Open AccessArticle

Design and Analysis of a Large Mode Field Area and Low Bending Loss Multi-Cladding Fiber with Comb-Index Core and Gradient-Refractive Index Ring

by Yining Zhang and Yudong Lian

Sensors 2023, 23(11), 5085; https://doi.org/10.3390/s23115085 - 26 May 2023

Cited by 2 | Viewed by 1191

Abstract

The large mode field area fiber can raise the tolerance of power, and high requirements for the bending characteristics of optical fibers are needed. In this paper, a fiber composed of a comb-index core, gradient-refractive index ring, and multi-cladding is proposed. The performance of the proposed fiber is investigated by using a finite element method at a 1550 nm wavelength. When the bending radius is 20 cm, the mode field area of the fundamental mode can achieve 2010 μm², and the bending loss is reduced to 8.452 × 10⁻⁴ dB/m. Additionally, when the bending radius is smaller than 30 cm, there are two variations with low BL and leakage; one is a bending radius of 17 cm to 21 cm, and the other is from 24 cm to 28 cm (except for 27 cm). When the bending radius is between 17 cm and 38 cm, the highest bending loss is 1.131 × 10⁻¹ dB/m and the lowest mode field area is 1925 μm². It has a very important application prospect in the field of high-power fiber lasers and telecom applications. Full article

(This article belongs to the Special Issue Advances in Intelligent Optical Fiber Communication)

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Review

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28 pages, 10776 KiB

Open AccessReview

Advances in Silicon-Based Integrated Lidar

by Mingxuan Hu, Yajun Pang and Long Gao

Sensors 2023, 23(13), 5920; https://doi.org/10.3390/s23135920 - 26 Jun 2023

Cited by 1 | Viewed by 2947

Abstract

Silicon-based Lidar is an ideal way to reduce the volume of the Lidar and realize monolithic integration. It removes the moving parts in the conventional device and realizes solid-state beam steering. The advantages of low cost, small size, and high beam steering speed have attracted the attention of many researchers. In order to facilitate researchers to quickly understand the research progress and direction, this paper mainly describes the research progress of silicon-based integrated Lidar, including silicon-based optical phased array Lidar, silicon-based optical switch array Lidar, and continuous frequency-modulated wave Lidar. In addition, we also introduced the scanning modes and working principles of other kinds of Lidar, such as the Micro-Electro-Mechanical System, mechanical Lidar, etc., and analyzed the characteristics of the Lidars above. Finally, we summarized this paper and put forward the future expectations of silicon-based integrated Lidar. Full article

(This article belongs to the Special Issue Advances in Intelligent Optical Fiber Communication)

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