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Slope-assisted Raman distributed optical fiber sensing

Photonics Research 2022年第1期10卷 205-213页

作者： JIAN LI XINXIN ZHOU YANG XU LIJUN QIAO JIANZHONG ZHANG MINGJIANG ZHANG College of Physics and Optoelectronics Taiyuan University of TechnologyTaiyuan 030024China Key Laboratory of Advanced Transducers and Intelligent Control Systems(Ministry of Education and Shanxi Province) Taiyuan University of TechnologyTaiyuan 030024China

Raman distributed optical fiber sensing is required to achieve accurate temperature measurements in a micro-scale *** this study,we first analyze and demonstrate the pulse transmission feature in the temperature variation area and the superposition characteristics of Raman optical time-domain reflectometry(OTDR)signals by numerical *** equations of superimposed Raman anti-Stokes scattered signals at different stages are presented,providing a theoretical basis for the positioning and physical quantity demodulation of whole optical fiber systems based on the OTDR ***,we propose and experimentally demonstrate a slope-assisted sensing principle and scheme in a Raman distributed optical fiber *** the best our knowledge,this is the first experimental demonstration of Raman distributed optical fiber sensing in a centimeter-level spatial measurement region.

关键词： fiber optical OTDR

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Design of a Novel Autonomous Docking System With a Supporting Robotic Fish

Design of a Novel Autonomous Docking System With a Supportin...

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2023 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2023

作者： Dong, Huijie Zhao, Chunyang Qiao, Tiezhu Wang, Jian Chen, Di Meng, Yan Yu, Junzhi Taiyuan University of Technology Key Laboratory of Advanced Transducers and Intelligent Control System Ministry of Education Taiyuan030024 China Chinese Academy of Sciences Laboratory of Cognitive and Decision Intelligence for Complex System Institute of Automation Beijing100190 China Peking University State Key Laboratory for Turbulence and Complex Systems Department of Advanced Manufacturing and Robotics College of Engineering Beijing100871 China Guangdong Ocean University College of Electronics and Information Engineering Zhanjiang524088 China

ISBN: (纸本)9798350327182

Underwater supporting robots serving as a relay of energy supplements and communication for other underwater equipment are promising for ocean exploration, development, and protection. This paper proposes a novel autonomous docking system centered on a designed supporting robotic fish named 'CourierFish'. Specifically, CourierFish is capable of docking with a surface dock station for supplying itself and docking with a seafloor platform for supporting equipment in the platform. A visual navigation scheme integrating LED and ArUco markers is presented for accurate localization. The control approach for docking motion is also illustrated. Simulations and aquatic experiments are performed to verify the feasibility of the proposed docking system. The obtained results lay a solid foundation for the construction of various underwater equipment and robot networks. © 2023 IEEE.

关键词： Fish

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Ultrafast and real-time physical random bit extraction with all-optical quantization

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advanced Photonics 2022年第3期4卷 83-89页

作者： Ya Guo Qiang Cai Pu Li Ruonan Zhang Bingjie Xu K.Alan Shore Yuncai Wang Taiyuan University of Technology Key Laboratory of Advanced Transducers and Intelligent Control SystemsMinistry of EducationTaiyuanChina Guangdong University of Technology School of Information EngineeringGuangdong Provincial Key Laboratory of Photonics Information TechnologyGuangzhouChina Northwestern Polytechnical University School of Electronics and InformationXi’anChina Institute of Southwestern Communication Science and Technology on Communication LaboratoryChengduChina Bangor University School of Electronic EngineeringWalesUnited Kingdom

Optical chaos generated by perturbing semiconductor lasers has been viewed,over recent decades,as an excellent entropy source for fast physical random bit generation(RBG)owing to its high bandwidth and large random ***,most optical-chaos-based random bit generators perform their quantization process in the electrical domain using electrical analog-to-digital converters,so their real-time rates in a single channel are severely limited at the level of Gb/s due to the electronic ***,we propose and experimentally demonstrate an all-optical method for RBG where chaotic pulses are quantized into a physical random bit stream in the all-optical domain by means of a length of highly nonlinear *** our proof-of-concept experiment,a 10-Gb/s random bit stream is successfully generated on-line using our *** that the single-channel real-time rate is limited only by the chaos *** that the Kerr nonlinearity of silica fiber with an ultrafast response of few femtoseconds is exploited for composing the key part of quantizing laser chaos,this scheme thus may operate potentially at much higher real-time rates than 100 Gb/s provided that a chaotic entropy source of sufficient bandwidth is available.

关键词： chaos random number generation semiconductor lasers optical signal processing.

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Passivation of degradation path enables high performance perovskite nanoplatelet lasers with high operational stability

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Photonics Research 2022年第6期10卷 1440-1452页

作者： GUOHUI LI HUIHUI PI YANFU WEI BOLIN ZHOU YA GAO RONG WEN YUYING HAO HAN ZHANG BENG S.ONG YANXIA CUI College of Physics and Optoelectronics Key Laboratory of Interface Science and Engineering in Advanced MaterialsKey Laboratory of Advanced Transducers and Intelligent Control System of Ministry of EducationTaiyuan University of TechnologyTaiyuan 030024China Collaborative Innovation Centre for Optoelectronic Science and Technology Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong ProvinceCollege of Physics and Optoelectronic EngineeringShenzhen Key Laboratory of Micro-Nano Photonic Information TechnologyGuangdong Laboratory of Artificial Intelligence and Digital Economy(SZ)Shenzhen UniversityShenzhen 518060China Department of Chemistry Research Centre of Excellence for Organic ElectronicsInstitute of Advanced MaterialsHong Kong Baptist UniversityKowloon TongHong KongChina

MAPbI_(3)perovskite has attracted widespread interests for developing low-cost near infrared semiconductor gain ***,it faces the instability issue under operation conditions,which remains a critical *** is found that the instability of the MAPbI_(3)nanoplatelet laser comes from the thermal-induced degradation progressing from the surface defects towards neighboring *** using PbI_(2) passivation,the defect-initiated degradation is significantly suppressed and the nanoplatelet degrades in a layer-by-layer way,enabling the MAPbI_(3)laser to sustain for 4500 s(2.7×10^(7) pulses),which is nearly three times longer than that of the nanoplatelet laser without ***,the PbI_(2) passivated MAPbI_(3)nanoplatelet laser with the nanoplatelet cavity displays a maximum quality factor up to∼7800,the highest reported for all MAPbI_(3)nanoplatelet ***,a high stability MAPbI_(3)nanoplatelet laser that can last for 8500 s(5.1×10^(7) pulses)is demonstrated based on a dual passivation strategy,by retarding the defect-initiated degradation and surface-initiated degradation *** work provides in-depth insights for understanding the operating degradation of perovskite lasers,and the dual passivation strategy paves the way for developing high stability near infrared semiconductor laser media.

关键词： stability initiated high

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Interference Fading Suppression for Multi-frequency Φ-OTDR

Interference Fading Suppression for Multi-frequency Φ-OTDR

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Optoelectronics Global Conference (OGC)

作者： Yu Wang Junhong Wang Bin Liang Yan Li Qing Bai Baoquan Jin Shanxi Transportation Technology Research & Development Co. Ltd Taiyuan China Key Laboratory of Advanced Transducers and Intelligent Control Systems (Ministry of Education and Shanxi Province) Taiyuan University of Technology Taiyuan China

ISBN: (纸本)9781665486996

In phase-sensitive optical time domain reflectometer (Φ-OTDR), due to interference fading, the intensity of Rayleigh backward scattering (RBS) signals may be close to zero at the fading position and submerged in noise, resulting in the abnormal demodulated phase of vibration signal. In this paper, a multi-frequency Φ-OTDR is proposed for the interference fading suppression. Three acousto-optical modulators (AOMs) are used to generate multi-frequency probe pulses. Data alignment processing is carried to ensure the consistency of multi-frequency beat signals. Rotated-vector-sum method is adopted to aggregate multi-frequency signals. Experimental results show that with the help of data alignment processing, the fading probability of aligned curve can be reduced to 1.90%, and the SNR of positioning curve can reach 16.03dB.

关键词： Vibrations Optical fibers Scattering Interference Rayleigh channels Optical scattering Optical reflection

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BOTDR Denoising by Sparse Representation Algorithm with Preformed Dictionary

BOTDR Denoising by Sparse Representation Algorithm with Pref...

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Optoelectronics Global Conference (OGC)

作者： Yuting Liu Zhijie Sun Ning Cui Qing Bai Yu Wang Baoquan Jin Key Laboratory of Advanced Transducers and Intelligent Control Systems Ministry of Education and Shanxi Province Taiyuan University of Technology Taiyuan China Shanxi Transportation Technology Research & Development Co. Ltd Taiyuan China

ISBN: (纸本)9781665486996

In Brillouin optical time domain reflectometers, the signal-to-noise ratio is a key factor restricting the sensor performance. Using redundancy and correlation of 3DBrillouin gain spectrum in multi-dimensional domain, sparse representation algorithm can be used to improve signal-to-noise ratio. According to basic principle of sparse representation, a dictionary can be designed to reconstruct valid signals. During reconstruction, random noise will be discarded as residuals. In this paper, discrete cosine transform algorithm is used to design the dictionary, orthogonal matching pursuit algorithm is used to extract the coefficient matrix, and the signal is finally reconstructed to achieve the purpose of noise reduction. The simulation results show that when 5dBm random noise is added, signal-to-noise ratio in the non-temperature-change region is increased by 24.3dB, which provides a new idea for improving signal-to-noise ratio of BOTDR sensor.

关键词： Dictionaries Noise reduction Matching pursuit algorithms Transforms Data models Sparse matrices Discrete cosine transforms

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Design of a Novel Autonomous Docking System With a Supporting Robotic Fish

Design of a Novel Autonomous Docking System With a Supportin...

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IEEE International Conference on Real-time Computing and Robotics (RCAR)

作者： Huijie Dong Chunyang Zhao Tiezhu Qiao Jian Wang Di Chen Yan Meng Junzhi Yu Ministry of Education Key Laboratory of Advanced Transducers and Intelligent Control System Taiyuan University of Technology Taiyuan China Institute of Automation Laboratory of Cognitive and Decision Intelligence for Complex System Chinese Academy of Sciences Beijing China Department of Advanced Manufacturing and Robotics College of Engineering State Key Laboratory for Turbulence and Complex Systems Peking University Beijing China College of Electronics and Information Engineering Guangdong Ocean University Zhanjiang China

Underwater supporting robots serving as a relay of energy supplements and communication for other underwater equipment are promising for ocean exploration, development, and protection. This paper proposes a novel autonomous docking system centered on a designed supporting robotic fish named ‘CourierFish’. Specifically, CourierFish is capable of docking with a surface dock station for supplying itself and docking with a seafloor platform for supporting equipment in the platform. A visual navigation scheme integrating LED and ArUco markers is presented for accurate localization. The control approach for docking motion is also illustrated. Simulations and aquatic experiments are performed to verify the feasibility of the proposed docking system. The obtained results lay a solid foundation for the construction of various underwater equipment and robot networks.

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Snr Enhancement for Raman Distributed Temperature Sensors Using Imfs with Improved Adaptive Wtd

SSRN

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SSRN 2024年

作者： Jiang, Shuyang Zhang, Hongjuan Lu, Yi Han, Ruobing Gao, Yan Wang, Yu Jin, Baoquan College of Electrical and Power Engineering Taiyuan University of Technology Taiyuan030024 China Shanxi Academy of Ancient Building and Painted Sculpture& Fresco Preservation Taiyuan030012 China Key Laboratory of Advanced Transducers and Intelligent Control Systems Taiyuan030024 China College of Physics and Optoelectronics Engineering Taiyuan University of Technology Taiyuan030024 China College of Electronic Information Engineering Taiyuan University of Technology Taiyuan030024 China

To solve the low signal-to-noise ratio (SNR) and loss of signal detail in conventional denoising algorithms for Raman distributed temperature sensors, a novel approach is proposed. This method utilizes improved adaptive wavelet threshold denoising and Pearson correlation coefficient for processing intrinsic modal functions (IMFs). IMFs are obtained by complete ensemble empirical mode decomposition of the original signal, and the correlation coefficient of each IMF is calculated to identify its constituent components. The purely noisy IMFs are discarded, while those containing both noise and temperature signals undergo improved adaptive wavelet threshold denoising, and IMFs containing solely temperature signals are fully preserved. The final signal reconstruction is performed using the IMFs that have undergone noise reduction and the IMFs containing only temperature signals. Experiments show that SNR improvement from 12.83 dB to 19.04 dB at the 25 km fiber, with a reduction in maximum temperature error from 0.95 ℃ to 0.47 ℃. © 2024, The Authors. All rights reserved.

关键词： Noise abatement

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Stability Enhancement of BOTDR Strain Sensing System by Using SOA-Based-Gain-Switched Modulation 5

Stability Enhancement of BOTDR Strain Sensing System by Usin...

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5th Optoelectronics Global Conference, OGC 2020

作者： Liang, Changshuo Ji, Zeyu Fang, Zheng Bai, Qing Wang, Yu Liu, Xin Jin, Baoquan State Key Laboratory of Coal and Cbm Co-mining Shanxi Jincheng Anthracite Mine Group Co. Ltd. Jincheng China Taiyuan University of Technology Key Laboratory of Advanced Transducers and Intelligent Control Systems Ministry of Education Taiyuan China

ISBN: (纸本)9781728198606

Stable extinction ratio (ER) of the probe pulse is crucial to the measurement stability of Brillouin Optical Time-Domain Reflectometry (BOTDR). In this paper, a dynamic and continuous ER measurement scheme is proposed to evaluate the ER stability. Besides, a modified optical pulse modulation scheme based on gain switch is proposed to replace the conventional electric-optic modulation (EOM), aiming at enhancing the stability of BOTDR strain sensing system. The gain switch utilizes semiconductor optical amplifier (SOA) to generate probe pulse with the higher and more stable ER. Experiment results in 4 hours show the improvement of the ER stability with the proposed gain-switched modulation, which further improves the stability of BOTDR strain sensing system. © 2020 IEEE.

关键词： Modulation

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Detection and classification of astronomical targets with deep neural networks in wide field small aperture telescopes

arXiv

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arXiv 2020年

作者： Jia, Peng Liu, Qiang Sun, Yongyang College of Physics and Optoelectronics Taiyuan University of Technology Taiyuan030024 China Key Laboratory of Advanced Transducers and Intelligent Control Systems Ministry of Education and Shanxi Province Taiyuan University of Technology Taiyuan030024 China

Wide field small aperture telescopes are widely used for optical transient observations. Detection and classification of astronomical targets in observed images are the most important and basic step. In this paper, we propose an astronomical targets detection and classification framework based on deep neural networks. Our framework adopts the concept of the Faster R-CNN and uses a modified Resnet50 as backbone network and a Feature Pyramid Network to extract features from images of different astronomical targets. To increase the generalization ability of our framework, we use both simulated and real observation images to train the neural network. After training, the neural network could detect and classify astronomical targets automatically. We test the performance of our framework with simulated data and find that our framework has almost the same detection ability as that of the traditional method for bright and isolated sources and our framework has 2 times better detection ability for dim targets, albeit all celestial objects detected by the traditional method can be classified correctly. We also use our framework to process real observation data and find that our framework can improve 25% detection ability than that of the traditional method when the threshold of our framework is 0.6. Rapid discovery of transient targets is quite important and we further propose to install our framework in embedded devices such as the Nvidia Jetson Xavier to achieve real-time astronomical targets detection and classification abilities. Copyright © 2020, The Authors. All rights reserved.

关键词： Deep neural networks

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