Pub Date : 2022-12-06DOI: 10.1109/OGC55558.2022.10051110
Jiaqi Hu, Jinna Chen, Chenlong Xue, Yanqun Xiang, Guoying Liu, Hong Dang, Dan Lu, Huanhuan Liu, Longqing Cong, Zhen Gao, H. Su, P. Shum
Identification and classification are important application areas of surface-enhanced Raman spectroscopy (SERS). Substance is identified via the chemical finger-print function of Raman spectroscopy. Diseases can be diagnosed through biofluidic Raman spectrum analysis and classification accordingly. Since bio-fluidic, such as serumurineand tissue fluid contains various substances, Raman spectrum is too complex to be classified manually. The optimization of deep learning classification model is critical in diagnosis accuracy improvement. Here we propose, for the first, applying DARSHN algorithm in automatic diagnosis model design and optimization. DARSHN was applied to serialize the discrete search space. Optimal structural solution was generated through approximate gradient descent subsequently. This research suggested that DARSHN can be used in the optimization of classification models automatically and effectively. Its advantages in the application of serum SERS-based cancer diagnosis compared to residual network spectral classification models were shown in this paper.
{"title":"Optimal Raman Spectral Classifcation Model Based on Differentiable Architecture Search of Hybrid Structure Network for Disease Diagnosis","authors":"Jiaqi Hu, Jinna Chen, Chenlong Xue, Yanqun Xiang, Guoying Liu, Hong Dang, Dan Lu, Huanhuan Liu, Longqing Cong, Zhen Gao, H. Su, P. Shum","doi":"10.1109/OGC55558.2022.10051110","DOIUrl":"https://doi.org/10.1109/OGC55558.2022.10051110","url":null,"abstract":"Identification and classification are important application areas of surface-enhanced Raman spectroscopy (SERS). Substance is identified via the chemical finger-print function of Raman spectroscopy. Diseases can be diagnosed through biofluidic Raman spectrum analysis and classification accordingly. Since bio-fluidic, such as serumurineand tissue fluid contains various substances, Raman spectrum is too complex to be classified manually. The optimization of deep learning classification model is critical in diagnosis accuracy improvement. Here we propose, for the first, applying DARSHN algorithm in automatic diagnosis model design and optimization. DARSHN was applied to serialize the discrete search space. Optimal structural solution was generated through approximate gradient descent subsequently. This research suggested that DARSHN can be used in the optimization of classification models automatically and effectively. Its advantages in the application of serum SERS-based cancer diagnosis compared to residual network spectral classification models were shown in this paper.","PeriodicalId":177155,"journal":{"name":"2022 IEEE 7th Optoelectronics Global Conference (OGC)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127094178","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-06DOI: 10.1109/OGC55558.2022.10050947
Feng Xu, Song Zhou, Jiahui Zhang, G. Wang, Fei Xu
We have proposed an optically levitated conveyor belt based on specular-reflection photonic nanojet (s-PNJ). The trapped particles can suspend in the water and transport with the movement of hot spots caused by the deflection of exciting light. In addition, the rate of successful particle transporting can be up to 96.3% after the distance of 50 μm when the power intensity is as low as 0.2 mW/μm2.
{"title":"Optically Levitated Conveyor Belt Based on Specular-Reflection Photonic Nanojet","authors":"Feng Xu, Song Zhou, Jiahui Zhang, G. Wang, Fei Xu","doi":"10.1109/OGC55558.2022.10050947","DOIUrl":"https://doi.org/10.1109/OGC55558.2022.10050947","url":null,"abstract":"We have proposed an optically levitated conveyor belt based on specular-reflection photonic nanojet (s-PNJ). The trapped particles can suspend in the water and transport with the movement of hot spots caused by the deflection of exciting light. In addition, the rate of successful particle transporting can be up to 96.3% after the distance of 50 μm when the power intensity is as low as 0.2 mW/μm2.","PeriodicalId":177155,"journal":{"name":"2022 IEEE 7th Optoelectronics Global Conference (OGC)","volume":"109 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121739448","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-06DOI: 10.1109/OGC55558.2022.10051045
Aolong Sun, An Yan, Penghao Luo, Junwen Zhang, Nan Chi
Intensity modulation and direct detection (IM/DD) technology still dominates the optical fiber communication region for the sake of cost and energy efficiency. Reservoir Computing (RC), a special machine learning algorithm suitable for sequence models, has recently been applied to reduce the inter-symbol interference (ISI) caused by dispersion and Kerr nonlinearity in IM/DD systems. In this paper, we designed and numerically simulated a Photonic Integrated Reservoir Computing Processor (PIRCP) with two recurrent nodes using a standard silicon-on-insulator platform. The PIRCP exhibits ultra-high tunability of phase, intensity, delay time and detuning frequency of the optical carrier, which greatly facilitates parameter sweeping for the obtaining of the optimal processing performance. To validate the efficiency of our design, we implemented the PIRCP along with a Feed Forward Equalizer (FFE) in the receiver-end, and finally achieved sub HD-FEC performance for 112 Gbps/λ transmission over 60 km standard single-mode fiber (SSMF) with an ROP of -15 dBm, showing an improvement of 5 dBm compared with non-RC scheme.
{"title":"Silicon Photonic Integrated Reservoir Computing Processor with Ultra-high Tunability for High-speed IM/DD Equalization","authors":"Aolong Sun, An Yan, Penghao Luo, Junwen Zhang, Nan Chi","doi":"10.1109/OGC55558.2022.10051045","DOIUrl":"https://doi.org/10.1109/OGC55558.2022.10051045","url":null,"abstract":"Intensity modulation and direct detection (IM/DD) technology still dominates the optical fiber communication region for the sake of cost and energy efficiency. Reservoir Computing (RC), a special machine learning algorithm suitable for sequence models, has recently been applied to reduce the inter-symbol interference (ISI) caused by dispersion and Kerr nonlinearity in IM/DD systems. In this paper, we designed and numerically simulated a Photonic Integrated Reservoir Computing Processor (PIRCP) with two recurrent nodes using a standard silicon-on-insulator platform. The PIRCP exhibits ultra-high tunability of phase, intensity, delay time and detuning frequency of the optical carrier, which greatly facilitates parameter sweeping for the obtaining of the optimal processing performance. To validate the efficiency of our design, we implemented the PIRCP along with a Feed Forward Equalizer (FFE) in the receiver-end, and finally achieved sub HD-FEC performance for 112 Gbps/λ transmission over 60 km standard single-mode fiber (SSMF) with an ROP of -15 dBm, showing an improvement of 5 dBm compared with non-RC scheme.","PeriodicalId":177155,"journal":{"name":"2022 IEEE 7th Optoelectronics Global Conference (OGC)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121749440","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-06DOI: 10.1109/OGC55558.2022.10051013
Ruoyun Yao, W. Xiong, Zhangwan Peng, Yiti Xiong, Chaodan Chi, Chen Ji
We investigate the influence of Zinc diffusion on the modulation efficiency and optical insertion loss of InP-based MZI modulators. By analyzing the electric-optical field distribution and free-carrier absorption loss of three types of Zinc diffusion profiles, the mechanisms between Zn diffusion and modulation efficiency and optical insertion loss inside MZI modulators are systematically studied. We show that InP-based MZI modulator modulation efficiency is limited by electro-optic field distribution overlap and optical mode interacts with p-type dopant increases device insertion loss when Zn diffuses during MOCVD epitaxial process.
{"title":"Modeling and Analysis of Zinc Diffusion Effect within InP-Based Mach-Zehnder Modulators","authors":"Ruoyun Yao, W. Xiong, Zhangwan Peng, Yiti Xiong, Chaodan Chi, Chen Ji","doi":"10.1109/OGC55558.2022.10051013","DOIUrl":"https://doi.org/10.1109/OGC55558.2022.10051013","url":null,"abstract":"We investigate the influence of Zinc diffusion on the modulation efficiency and optical insertion loss of InP-based MZI modulators. By analyzing the electric-optical field distribution and free-carrier absorption loss of three types of Zinc diffusion profiles, the mechanisms between Zn diffusion and modulation efficiency and optical insertion loss inside MZI modulators are systematically studied. We show that InP-based MZI modulator modulation efficiency is limited by electro-optic field distribution overlap and optical mode interacts with p-type dopant increases device insertion loss when Zn diffuses during MOCVD epitaxial process.","PeriodicalId":177155,"journal":{"name":"2022 IEEE 7th Optoelectronics Global Conference (OGC)","volume":"91 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114011381","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-06DOI: 10.1109/OGC55558.2022.10051068
Yu Chen, Hong Cheng, Zhengguang Tian, Xun Yang, Fen Zhang, Wei Li
The microscope used in the traditional phase retrieval method based on the transport of intensity equation (TIE) is not portable enough. In this paper, a microscopic phase retrieval software and hardware system with good portability, high precision and strong adaptability is designed under the Android system. The intensity images are captured by the system which uses a smart phone with a portable microscope, and controls the lifting and lowering of the stage through a high-precision motor. Then the self-designed Android application software calculate the phase of the obtained image by using TIE method. Finally, the effectiveness of the system is verified by simulation experiments and experimental measurements.
{"title":"Portable Microscopic Phase Retrieval System Using the Transport of Intensity Equation on Android Platform","authors":"Yu Chen, Hong Cheng, Zhengguang Tian, Xun Yang, Fen Zhang, Wei Li","doi":"10.1109/OGC55558.2022.10051068","DOIUrl":"https://doi.org/10.1109/OGC55558.2022.10051068","url":null,"abstract":"The microscope used in the traditional phase retrieval method based on the transport of intensity equation (TIE) is not portable enough. In this paper, a microscopic phase retrieval software and hardware system with good portability, high precision and strong adaptability is designed under the Android system. The intensity images are captured by the system which uses a smart phone with a portable microscope, and controls the lifting and lowering of the stage through a high-precision motor. Then the self-designed Android application software calculate the phase of the obtained image by using TIE method. Finally, the effectiveness of the system is verified by simulation experiments and experimental measurements.","PeriodicalId":177155,"journal":{"name":"2022 IEEE 7th Optoelectronics Global Conference (OGC)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121501442","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-06DOI: 10.1109/OGC55558.2022.10050890
Abdulaziz Al-Amodi, M. Masood, M. M. Khan
Recently Underwater Optical Wireless Communication (UOWC) has attracted major attention due to its high transmission rate, low link delay, high communication security, and low implementation cost. However, optical signals suffer from severe attenuation loss due to absorption and scattering effects, which impedes the establishment of an effective and reliable UWOC system. Hence, it is important to identify the characteristic of the underwater channel in order to overcome the mentioned challenges. In literature, the combination of the Exponential and the Generalized Gamma Distribution (EGG) has been shown to model the underwater channel environment with great accuracy. EGG is a comprehensive channel model incorporating the effect of temperature-induced turbulence in the presence of air bubbles, in both fresh and salty aqueous environments. In this work, we built a Machine Learning (ML) based system that utilizes Convolutional Neural Network (CNN) to estimate the parameters of the EGG channel model from the received signal. Furthermore, we take one more step and train a separate deep network to predict bubble level and temperature gradient in the UWOC channel using the estimated parameters. The two networks together form a pipeline enabling us to estimate the channel state from the received signal. The results confirm well with the experimental data from the literature.
{"title":"Underwater Wireless Optical Communication Channel Characterization Using Machine Learning Techniques","authors":"Abdulaziz Al-Amodi, M. Masood, M. M. Khan","doi":"10.1109/OGC55558.2022.10050890","DOIUrl":"https://doi.org/10.1109/OGC55558.2022.10050890","url":null,"abstract":"Recently Underwater Optical Wireless Communication (UOWC) has attracted major attention due to its high transmission rate, low link delay, high communication security, and low implementation cost. However, optical signals suffer from severe attenuation loss due to absorption and scattering effects, which impedes the establishment of an effective and reliable UWOC system. Hence, it is important to identify the characteristic of the underwater channel in order to overcome the mentioned challenges. In literature, the combination of the Exponential and the Generalized Gamma Distribution (EGG) has been shown to model the underwater channel environment with great accuracy. EGG is a comprehensive channel model incorporating the effect of temperature-induced turbulence in the presence of air bubbles, in both fresh and salty aqueous environments. In this work, we built a Machine Learning (ML) based system that utilizes Convolutional Neural Network (CNN) to estimate the parameters of the EGG channel model from the received signal. Furthermore, we take one more step and train a separate deep network to predict bubble level and temperature gradient in the UWOC channel using the estimated parameters. The two networks together form a pipeline enabling us to estimate the channel state from the received signal. The results confirm well with the experimental data from the literature.","PeriodicalId":177155,"journal":{"name":"2022 IEEE 7th Optoelectronics Global Conference (OGC)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115443569","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-06DOI: 10.1109/OGC55558.2022.10051095
Hongyi Li, Jiajun Ma, Shilei Liu, Yi Liu, C. Ouyang
Topological photonic systems provide a novel platform for controlling the flow of light. Recently, valley photonic crystals have been favored for their friendly of implement. Here, we demonstrate the chiral-selective terahertz transmission in a valley photonic crystal comprised of dielectric rods. The unidirectional propagation of chiral edge states indicated by the slope of energy band dispersion is numerically observed. The proposed regime has potential in multi-functional photonic broadband communication and other on-chip applications in the terahertz region, particularly for 6G communications.
{"title":"Chiral-Selective Transmission of Edge States in Terahertz Valley Topological Photonic Crystals","authors":"Hongyi Li, Jiajun Ma, Shilei Liu, Yi Liu, C. Ouyang","doi":"10.1109/OGC55558.2022.10051095","DOIUrl":"https://doi.org/10.1109/OGC55558.2022.10051095","url":null,"abstract":"Topological photonic systems provide a novel platform for controlling the flow of light. Recently, valley photonic crystals have been favored for their friendly of implement. Here, we demonstrate the chiral-selective terahertz transmission in a valley photonic crystal comprised of dielectric rods. The unidirectional propagation of chiral edge states indicated by the slope of energy band dispersion is numerically observed. The proposed regime has potential in multi-functional photonic broadband communication and other on-chip applications in the terahertz region, particularly for 6G communications.","PeriodicalId":177155,"journal":{"name":"2022 IEEE 7th Optoelectronics Global Conference (OGC)","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115721932","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-06DOI: 10.1109/OGC55558.2022.10050984
Yang Li, Junqi Xu, Junhong Su, Zheng Liu
The work aims to study the effect of deposition temperature on optical properties and residual stresses in Lanthanum titanate (H4) films. The LaTiO3 films were deposited by electron-beam thermal evaporation technique. The residual stress of LaTiO3 films on fused silica was characterized macroscopically and microscopically, using laser interferometry and AFM. The residual stresses and surface profile shape change were simulated using finite element analysis methods. It was confirmed that the deposition temperature did not affect the optical properties of the films， but did for residual stresses. The residual stress of LaTiO3 films changes from decreasing tensile stress to compressive stress as the deposition temperature increases. The deposition temperature is used to modulate the magnitude and transition of the residual stress in the films. There is a strong dependence between the residual stresses and the densities of surface columnar structures in LaTiO3 films. The effect of density of surface columnar structures is found as follows: the film with the lower density of surface columnar structures generally shows a tensile and high density easily transform into compress stress. This conclusion is also verified by the increase of the corresponding refractive index. The simulated surface profiles are basically overlapping with the measured data. The proposed model is validated for the simulation of residual stresses in monolayers.
{"title":"Study on the Influence of Deposition Temperature on the Properties of Lanthanum Titanate Films","authors":"Yang Li, Junqi Xu, Junhong Su, Zheng Liu","doi":"10.1109/OGC55558.2022.10050984","DOIUrl":"https://doi.org/10.1109/OGC55558.2022.10050984","url":null,"abstract":"The work aims to study the effect of deposition temperature on optical properties and residual stresses in Lanthanum titanate (H4) films. The LaTiO3 films were deposited by electron-beam thermal evaporation technique. The residual stress of LaTiO3 films on fused silica was characterized macroscopically and microscopically, using laser interferometry and AFM. The residual stresses and surface profile shape change were simulated using finite element analysis methods. It was confirmed that the deposition temperature did not affect the optical properties of the films， but did for residual stresses. The residual stress of LaTiO3 films changes from decreasing tensile stress to compressive stress as the deposition temperature increases. The deposition temperature is used to modulate the magnitude and transition of the residual stress in the films. There is a strong dependence between the residual stresses and the densities of surface columnar structures in LaTiO3 films. The effect of density of surface columnar structures is found as follows: the film with the lower density of surface columnar structures generally shows a tensile and high density easily transform into compress stress. This conclusion is also verified by the increase of the corresponding refractive index. The simulated surface profiles are basically overlapping with the measured data. The proposed model is validated for the simulation of residual stresses in monolayers.","PeriodicalId":177155,"journal":{"name":"2022 IEEE 7th Optoelectronics Global Conference (OGC)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116298849","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-06DOI: 10.1109/OGC55558.2022.10051094
Yue Yuan, T. Shen, Chi Liu, Tianyu Yang, Aina Gong
In this paper, the structural, electrical, magnetic and optical properties of Dy8Fe16-xCox (x=0,2,3) compounds have been studied by first principles calculation. Among them, the structural properties show that the atoms of DyFe2, Dy8Fe14Co2 and Dy8Fe13Co3 are symmetrically located, and each layer forms a triangle. In addition, the calculation of electrical properties shows that the three compounds have obvious metal properties and ferromagnetism. At the same time, an interesting phenomenon was found in the magnetic calculation, The magnetic moment of the same electron orbit of the same element is the same on the premise of ensuring the triangle symmetry of each layer. Finally, in order to study the optical properties of Dy8Fe16-xCox (x=0,2,3), We calculated the optical absorption spectra of the three compounds with photon energy. It is found that the absorption spectrum is red shifted in the ultraviolet range. The above basic physical property calculations could provide theoretical guidance for the optical elements of Dy8Fe16-xCox (x=0,2,3). It also lays a foundation for improving the sensitivity of Dy8Fe16-xCox (x=0,2,3) compound optical fiber sensing.
{"title":"A Sensitive Material for Optical Fiber Sensor : — Dy8Fe16-xCox (x=0,2,3): First-principles calculations","authors":"Yue Yuan, T. Shen, Chi Liu, Tianyu Yang, Aina Gong","doi":"10.1109/OGC55558.2022.10051094","DOIUrl":"https://doi.org/10.1109/OGC55558.2022.10051094","url":null,"abstract":"In this paper, the structural, electrical, magnetic and optical properties of Dy<inf>8</inf>Fe<inf>16-x</inf>Co<inf>x</inf> (x=0,2,3) compounds have been studied by first principles calculation. Among them, the structural properties show that the atoms of DyFe<inf>2</inf>, Dy<inf>8</inf>Fe<inf>14</inf>Co<inf>2</inf> and Dy<inf>8</inf>Fe<inf>13</inf>Co<inf>3</inf> are symmetrically located, and each layer forms a triangle. In addition, the calculation of electrical properties shows that the three compounds have obvious metal properties and ferromagnetism. At the same time, an interesting phenomenon was found in the magnetic calculation, The magnetic moment of the same electron orbit of the same element is the same on the premise of ensuring the triangle symmetry of each layer. Finally, in order to study the optical properties of Dy<inf>8</inf>Fe<inf>16-x</inf>Co<inf>x</inf> (x=0,2,3), We calculated the optical absorption spectra of the three compounds with photon energy. It is found that the absorption spectrum is red shifted in the ultraviolet range. The above basic physical property calculations could provide theoretical guidance for the optical elements of Dy<inf>8</inf>Fe<inf>16-x</inf>Co<inf>x</inf> (x=0,2,3). It also lays a foundation for improving the sensitivity of Dy<inf>8</inf>Fe<inf>16-x</inf>Co<inf>x</inf> (x=0,2,3) compound optical fiber sensing.","PeriodicalId":177155,"journal":{"name":"2022 IEEE 7th Optoelectronics Global Conference (OGC)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124597508","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
We propose and demonstrate an all solid-state light detection and ranging (Lidar) system based on lens assisted beam steering (LABS) technology. A frequency modulated continuous wave (FMCW) coaxial Lidar system at 1550 nm with 16 scanning directions, 0.35° beam steering step and 1.05° total steering angle is demonstrated. The function of beam steering and 3D imaging are demonstrated. In FMCW ranging experiments, the Lidar system is measured to have 210 m ranging capability. The ranging accuracy can be further improved by applying phase noise compensation. This work proves the potential application of a new integrated beam steering technology in Lidar and demonstrates the way for a fully integrated Lidar system.
{"title":"A Solid-state FMCW Lidar System Based on Lens-assisted Beam Steering","authors":"Xianyi Cao, Kan Wu, Chao Li, Tianyi Li, Jiaxuan Long, Jianping Chen","doi":"10.1109/OGC55558.2022.10050905","DOIUrl":"https://doi.org/10.1109/OGC55558.2022.10050905","url":null,"abstract":"We propose and demonstrate an all solid-state light detection and ranging (Lidar) system based on lens assisted beam steering (LABS) technology. A frequency modulated continuous wave (FMCW) coaxial Lidar system at 1550 nm with 16 scanning directions, 0.35° beam steering step and 1.05° total steering angle is demonstrated. The function of beam steering and 3D imaging are demonstrated. In FMCW ranging experiments, the Lidar system is measured to have 210 m ranging capability. The ranging accuracy can be further improved by applying phase noise compensation. This work proves the potential application of a new integrated beam steering technology in Lidar and demonstrates the way for a fully integrated Lidar system.","PeriodicalId":177155,"journal":{"name":"2022 IEEE 7th Optoelectronics Global Conference (OGC)","volume":"196 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116443443","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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