Pub Date : 2024-10-28DOI: 10.1109/LPT.2024.3487478
Ricardo E. da Silva;Jonas H. Osório;David J. Webb;Frédéric Gérôme;Fetah Benabid;Marcos A. R. Franco;Cristiano M. B. Cordeiro
We demonstrate the acousto-optic modulation of a hybrid-lattice hollow core fiber (HL-HCF) for the first time. For many years, optical fibers with reduced diameters have been the main solution to increase the interaction of acoustic and optical waves. However, the high drive voltages and large modulator components still employed drastically affect the efficiency and miniaturization of these devices. Here, we experimentally show that combining Kagomé and tubular lattices in HL-HCFs allows for enhancing the amplification of the acoustic waves and the modulation of the guided optical modes, thus providing high modulation efficiency even when using a fiber with a $240~mu $ m diameter. To the best of our knowledge, the measured HL-HCF’s modulation efficiency (1.3 dB/V) is the highest compared to devices employing reduced diameter fibers. Additionally, we demonstrate a compact acousto-optic modulator with driver dimensions smaller than the HL-HCF diameter. Overall, our results show a promising alternative to solve the compromise of speed, efficiency, and compactness for integration with microscale all-fiber photonic devices.
{"title":"Highly Efficient Compact Acousto-Optic Modulator Based on a Hybrid-Lattice Hollow Core Fiber","authors":"Ricardo E. da Silva;Jonas H. Osório;David J. Webb;Frédéric Gérôme;Fetah Benabid;Marcos A. R. Franco;Cristiano M. B. Cordeiro","doi":"10.1109/LPT.2024.3487478","DOIUrl":"https://doi.org/10.1109/LPT.2024.3487478","url":null,"abstract":"We demonstrate the acousto-optic modulation of a hybrid-lattice hollow core fiber (HL-HCF) for the first time. For many years, optical fibers with reduced diameters have been the main solution to increase the interaction of acoustic and optical waves. However, the high drive voltages and large modulator components still employed drastically affect the efficiency and miniaturization of these devices. Here, we experimentally show that combining Kagomé and tubular lattices in HL-HCFs allows for enhancing the amplification of the acoustic waves and the modulation of the guided optical modes, thus providing high modulation efficiency even when using a fiber with a \u0000<inline-formula> <tex-math>$240~mu $ </tex-math></inline-formula>\u0000m diameter. To the best of our knowledge, the measured HL-HCF’s modulation efficiency (1.3 dB/V) is the highest compared to devices employing reduced diameter fibers. Additionally, we demonstrate a compact acousto-optic modulator with driver dimensions smaller than the HL-HCF diameter. Overall, our results show a promising alternative to solve the compromise of speed, efficiency, and compactness for integration with microscale all-fiber photonic devices.","PeriodicalId":13065,"journal":{"name":"IEEE Photonics Technology Letters","volume":"36 24","pages":"1441-1444"},"PeriodicalIF":2.3,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142595126","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-25DOI: 10.1109/LPT.2024.3486625
Sunan Zhang;Taixia Shi;Lizhong Jiang;Yang Chen
A microwave photonic short-time Fourier transform (STFT) system based on stabilized period-one (P1) nonlinear laser dynamics and stimulated Brillouin scattering (SBS) is proposed. By using an optoelectronic feedback loop, the frequency-sweep optical signal generated by the P1 nonlinear laser dynamics is stabilized, which is further used in conjunction with an optical bandpass filter implemented by SBS to achieve the frequency-to-time mapping of microwave signals and the final STFT. By comparing the results with and without optoelectronic feedback, it is found that the time-frequency diagram of the signal under test (SUT) obtained by STFT is clearer and smoother, and the frequency of the SUT measured in each frequency-sweep period is more accurate. The measurement error is reduced by around 50% under the optimal filter bandwidth.
本文提出了一种基于稳定的周期一（P1）非线性激光动力学和受激布里渊散射（SBS）的微波光子短时傅里叶变换（STFT）系统。通过使用光电反馈回路，稳定了由 P1 非线性激光动力学产生的频率扫描光信号，并将其与 SBS 实现的光带通滤波器结合使用，实现了微波信号的频率-时间映射和最终的 STFT。通过比较有光电反馈和无光电反馈的结果，可以发现 STFT 得到的被测信号（SUT）时频图更加清晰、平滑，每个扫频周期内测得的被测信号频率更加准确。在最佳滤波器带宽下，测量误差减少了约 50%。
{"title":"STFT Based on Stabilized Period-One Nonlinear Laser Dynamics and Stimulated Brillouin Scattering","authors":"Sunan Zhang;Taixia Shi;Lizhong Jiang;Yang Chen","doi":"10.1109/LPT.2024.3486625","DOIUrl":"https://doi.org/10.1109/LPT.2024.3486625","url":null,"abstract":"A microwave photonic short-time Fourier transform (STFT) system based on stabilized period-one (P1) nonlinear laser dynamics and stimulated Brillouin scattering (SBS) is proposed. By using an optoelectronic feedback loop, the frequency-sweep optical signal generated by the P1 nonlinear laser dynamics is stabilized, which is further used in conjunction with an optical bandpass filter implemented by SBS to achieve the frequency-to-time mapping of microwave signals and the final STFT. By comparing the results with and without optoelectronic feedback, it is found that the time-frequency diagram of the signal under test (SUT) obtained by STFT is clearer and smoother, and the frequency of the SUT measured in each frequency-sweep period is more accurate. The measurement error is reduced by around 50% under the optimal filter bandwidth.","PeriodicalId":13065,"journal":{"name":"IEEE Photonics Technology Letters","volume":"36 24","pages":"1421-1424"},"PeriodicalIF":2.3,"publicationDate":"2024-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142565567","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-25DOI: 10.1109/LPT.2024.3486577
Meenwook Ha;Yanne K. Chembo
Optoelectronic oscillators are time-delayed photonic systems able to generate pure microwave signals. The nonlinear dynamics of the systems can be well understood using an Ikeda-like equation governing the behavior of the output microwave envelope. This deterministic envelope equation can be converted into a stochastic phase dynamic equation using the Langevin approach, which accounts for both additive and multiplicative noise. Here, we can quantify the magnitude of the two noise contributions in the sub-threshold regime, and show that these measurements are predictive of the phase noise performance of the oscillator above threshold. Our theoretical analysis is found to be in excellent agreement with experimental measurements, which demonstrate a phase noise performance better than −130 dBc/Hz at 10 kHz offset from the carrier in the S-band.
光电振荡器是一种能够产生纯微波信号的延时光子系统。利用管理输出微波包络行为的类似池田方程，可以很好地理解系统的非线性动态。这种确定性包络方程可以通过朗格文方法转换成随机相位动态方程，该方法同时考虑了加法和乘法噪声。在这里，我们可以量化阈值以下机制中两种噪声贡献的大小，并表明这些测量结果可以预测阈值以上振荡器的相位噪声性能。我们的理论分析结果与实验测量结果非常吻合，实验结果表明，在 S 波段与载波偏移 10 kHz 时，相位噪声性能优于 -130 dBc/Hz。
{"title":"A Threshold-Independent Approach to Stochastic Fluctuations in Optoelectronic Oscillators","authors":"Meenwook Ha;Yanne K. Chembo","doi":"10.1109/LPT.2024.3486577","DOIUrl":"https://doi.org/10.1109/LPT.2024.3486577","url":null,"abstract":"Optoelectronic oscillators are time-delayed photonic systems able to generate pure microwave signals. The nonlinear dynamics of the systems can be well understood using an Ikeda-like equation governing the behavior of the output microwave envelope. This deterministic envelope equation can be converted into a stochastic phase dynamic equation using the Langevin approach, which accounts for both additive and multiplicative noise. Here, we can quantify the magnitude of the two noise contributions in the sub-threshold regime, and show that these measurements are predictive of the phase noise performance of the oscillator above threshold. Our theoretical analysis is found to be in excellent agreement with experimental measurements, which demonstrate a phase noise performance better than −130 dBc/Hz at 10 kHz offset from the carrier in the S-band.","PeriodicalId":13065,"journal":{"name":"IEEE Photonics Technology Letters","volume":"36 24","pages":"1413-1416"},"PeriodicalIF":2.3,"publicationDate":"2024-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142565604","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-24DOI: 10.1109/LPT.2024.3485897
Anzi Xu;Yujie Di;Xiangyu Yue;Lian-Kuan Chen
Wave-induced beam wander degrades communication performance, which causes a high bit error rate (BER) and packet loss rate (PLR) in water-air OWC. We propose and experimentally demonstrate a real-time beam tracking system utilizing an image pre-processing algorithm and a MobileNetV2-based model to mitigate wave-induced effects in water-air OWC. The tracking system is optimized and compared with the ResNet-based tracking system in terms of tracking and communication performance. For non-tracking cases, the PLR is significantly higher, with values exceeding 20%. With a 1.3-m air path, a zero-packet-loss link is realized by the MobileNetV2-based tracking method at a data rate of 800 Mbit/s and a wave average slope changing rate (ASCR) of 28 deg/sec.
{"title":"Beam Tracking Aided by Complexity-Reduced MobileNetV2 for Water-Air OWC With Waves","authors":"Anzi Xu;Yujie Di;Xiangyu Yue;Lian-Kuan Chen","doi":"10.1109/LPT.2024.3485897","DOIUrl":"https://doi.org/10.1109/LPT.2024.3485897","url":null,"abstract":"Wave-induced beam wander degrades communication performance, which causes a high bit error rate (BER) and packet loss rate (PLR) in water-air OWC. We propose and experimentally demonstrate a real-time beam tracking system utilizing an image pre-processing algorithm and a MobileNetV2-based model to mitigate wave-induced effects in water-air OWC. The tracking system is optimized and compared with the ResNet-based tracking system in terms of tracking and communication performance. For non-tracking cases, the PLR is significantly higher, with values exceeding 20%. With a 1.3-m air path, a zero-packet-loss link is realized by the MobileNetV2-based tracking method at a data rate of 800 Mbit/s and a wave average slope changing rate (ASCR) of 28 deg/sec.","PeriodicalId":13065,"journal":{"name":"IEEE Photonics Technology Letters","volume":"36 24","pages":"1469-1472"},"PeriodicalIF":2.3,"publicationDate":"2024-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142672106","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-23DOI: 10.1109/LPT.2024.3485181
Wen-Kai Kuo;Chih-Chieh Yu;Wen-Ling Chang
This study presents a dip-type probe that was designed by integrating a polymer GMR sensor at the facet of an optical fiber to sense changes in the refractive index of sugar water. The polymer GMR probe was fabricated by nanoimprinting UV-cured resin and fixing it to the facet of a single-mode optical fiber using a silicon tube. A divergent beam from the fiber facet passes through the GMR sensor of the probe and then a polarizer to form a nearly straight dark line in the output beam. Instead of a spectrometer, a low-cost CMOS image sensor is utilized to detect the position shift of the dark line caused by the change in the refractive index on the surface of the GMR sensor. The experimental results show that its detection sensitivity and limit are approximately 42.2°/RIU (or 88500 pixels/RIU) and $1.13times 10~^{-5}$ RIU/pixel, respectively, demonstrating its potential as a low-cost, compact commercial biosensor.
{"title":"Dip-Type Probe Based on a Guided-Mode Resonance Sensor at the Facet of an Optical Fiber","authors":"Wen-Kai Kuo;Chih-Chieh Yu;Wen-Ling Chang","doi":"10.1109/LPT.2024.3485181","DOIUrl":"https://doi.org/10.1109/LPT.2024.3485181","url":null,"abstract":"This study presents a dip-type probe that was designed by integrating a polymer GMR sensor at the facet of an optical fiber to sense changes in the refractive index of sugar water. The polymer GMR probe was fabricated by nanoimprinting UV-cured resin and fixing it to the facet of a single-mode optical fiber using a silicon tube. A divergent beam from the fiber facet passes through the GMR sensor of the probe and then a polarizer to form a nearly straight dark line in the output beam. Instead of a spectrometer, a low-cost CMOS image sensor is utilized to detect the position shift of the dark line caused by the change in the refractive index on the surface of the GMR sensor. The experimental results show that its detection sensitivity and limit are approximately 42.2°/RIU (or 88500 pixels/RIU) and \u0000<inline-formula> <tex-math>$1.13times 10~^{-5}$ </tex-math></inline-formula>\u0000 RIU/pixel, respectively, demonstrating its potential as a low-cost, compact commercial biosensor.","PeriodicalId":13065,"journal":{"name":"IEEE Photonics Technology Letters","volume":"36 24","pages":"1409-1412"},"PeriodicalIF":2.3,"publicationDate":"2024-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142565605","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-23DOI: 10.1109/LPT.2024.3484656
Feifan Yao;Huiying Zhang;Yifei Gong
Addressing the unique optical properties of water in underwater images, this letter introduces the DifSG2-CCL model for generating images in complex underwater environments, aiming to mitigate the effects of water quality factors on the generated images. This letter proposes U-CCL (Underwater Cycle Consistency Loss) in the generator loss, allowing the generator to preserve real image information during conversion by reflecting the shot to prevent information loss. Consequently, the generated image is not only more realistic, but also highly consistent with the real image in content. Additionally, this letter utilizes the publicly available 9.235k Sea Anemone Dataset (SA Dataset) with a resolution of $256times 256$ for training. Experimental results indicate that assigning a weight of 1 to DiffSG2-CCL achieves the best training effect, reducing the FID value to 8.97, while significantly improving the detail and texture of the generated images, approaching aesthetic vision. Thus, this method effectively mitigates the special optical properties of water bodies and offers innovative approaches for generating images in complex underwater environments. The experimental code with pre-trained models will be published shortly at https://github.com/yff0428/DifSG2-CCL/tree/master .
{"title":"DifSG2-CCL: Image Reconstruction Based on Special Optical Properties of Water Body","authors":"Feifan Yao;Huiying Zhang;Yifei Gong","doi":"10.1109/LPT.2024.3484656","DOIUrl":"https://doi.org/10.1109/LPT.2024.3484656","url":null,"abstract":"Addressing the unique optical properties of water in underwater images, this letter introduces the DifSG2-CCL model for generating images in complex underwater environments, aiming to mitigate the effects of water quality factors on the generated images. This letter proposes U-CCL (Underwater Cycle Consistency Loss) in the generator loss, allowing the generator to preserve real image information during conversion by reflecting the shot to prevent information loss. Consequently, the generated image is not only more realistic, but also highly consistent with the real image in content. Additionally, this letter utilizes the publicly available 9.235k Sea Anemone Dataset (SA Dataset) with a resolution of \u0000<inline-formula> <tex-math>$256times 256$ </tex-math></inline-formula>\u0000 for training. Experimental results indicate that assigning a weight of 1 to DiffSG2-CCL achieves the best training effect, reducing the FID value to 8.97, while significantly improving the detail and texture of the generated images, approaching aesthetic vision. Thus, this method effectively mitigates the special optical properties of water bodies and offers innovative approaches for generating images in complex underwater environments. The experimental code with pre-trained models will be published shortly at \u0000<uri>https://github.com/yff0428/DifSG2-CCL/tree/master</uri>\u0000.","PeriodicalId":13065,"journal":{"name":"IEEE Photonics Technology Letters","volume":"36 24","pages":"1417-1420"},"PeriodicalIF":2.3,"publicationDate":"2024-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142565603","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-21DOI: 10.1109/LPT.2024.3483815
Xiang Wang;Yingxu Wang;Haoxuan Peng;Chengyan Zhong;Maolin Zhang;Yufeng Guo;Yu Liu
Deep ultraviolet (DUV) photodetection typically struggles with significant noise and low contrast due to radiation and atmospheric interference. Integrating image enhancement and preprocessing functionalities often necessitates complex circuitry. To address these issues, this study introduces a $beta $ -Ga2O3-based optoelectronic neuromorphic device utilizing pulsed light stimulation, designed to emulate brain-like integrated sensing and computing capabilities. By increasing the TEGa flow rate during the growth process, extra oxygen vacancies (V $_{mathrm {o}}$ ) were introduced into $beta $ -Ga2O3, enabling the device to mimic critical biological synapse traits such as short-term plasticity and the learning-forgetting-relearning cycle, essential for dynamic data processing. These synaptic features allow the device to perform effective visual preprocessing, which significantly improves image recognition accuracy. Specifically, with added noise standard deviations of 0.2, 0.3, and 0.4, preprocessing resulted in recognition accuracy increases of 19.4%, 54.7%, and 161.7%, respectively. Importantly, the Vo-rich composition resulted in reduced photocurrent and ultra-low energy consumption (25 fJ) approaches of biological synapses. This device exhibits only 0.1% of the energy consuming compared to similar Ga2O3 synaptic devices through normalization comparison. These improvements highlight the device’s capability to significantly enhance DUV image quality and usability, offering valuable insights for the development of integrated sensing and computing Ga2O3 devices.
{"title":"Ultra-Low Power In-Sensor Computing β-Ga₂O₃ Ultraviolet Optoelectronic Synaptic Devices","authors":"Xiang Wang;Yingxu Wang;Haoxuan Peng;Chengyan Zhong;Maolin Zhang;Yufeng Guo;Yu Liu","doi":"10.1109/LPT.2024.3483815","DOIUrl":"https://doi.org/10.1109/LPT.2024.3483815","url":null,"abstract":"Deep ultraviolet (DUV) photodetection typically struggles with significant noise and low contrast due to radiation and atmospheric interference. Integrating image enhancement and preprocessing functionalities often necessitates complex circuitry. To address these issues, this study introduces a \u0000<inline-formula> <tex-math>$beta $ </tex-math></inline-formula>\u0000-Ga2O3-based optoelectronic neuromorphic device utilizing pulsed light stimulation, designed to emulate brain-like integrated sensing and computing capabilities. By increasing the TEGa flow rate during the growth process, extra oxygen vacancies (V\u0000<inline-formula> <tex-math>$_{mathrm {o}}$ </tex-math></inline-formula>\u0000) were introduced into \u0000<inline-formula> <tex-math>$beta $ </tex-math></inline-formula>\u0000-Ga2O3, enabling the device to mimic critical biological synapse traits such as short-term plasticity and the learning-forgetting-relearning cycle, essential for dynamic data processing. These synaptic features allow the device to perform effective visual preprocessing, which significantly improves image recognition accuracy. Specifically, with added noise standard deviations of 0.2, 0.3, and 0.4, preprocessing resulted in recognition accuracy increases of 19.4%, 54.7%, and 161.7%, respectively. Importantly, the Vo-rich composition resulted in reduced photocurrent and ultra-low energy consumption (25 fJ) approaches of biological synapses. This device exhibits only 0.1% of the energy consuming compared to similar Ga2O3 synaptic devices through normalization comparison. These improvements highlight the device’s capability to significantly enhance DUV image quality and usability, offering valuable insights for the development of integrated sensing and computing Ga2O3 devices.","PeriodicalId":13065,"journal":{"name":"IEEE Photonics Technology Letters","volume":"36 23","pages":"1393-1396"},"PeriodicalIF":2.3,"publicationDate":"2024-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142540430","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A silica edge coupler based on cascaded gratings with four different duty ratios is demonstrated. Finite-difference time-domain method is adopted in the coupler optimization. Ultraviolet photolithography, plasma etching and chemical vapor deposition have been adopted in the coupler preparation. When the refractive index difference between the silica core and cladding layers is 2%, the measured coupling loss is 0.52 dB/facet at the wavelength 1550 nm. The bandwidth with a penalty less than 1 dB/facet exceeds 318 nm (1300 nm - 1507 nm and 1509 nm - 1620 nm). Features of large alignment tolerance promise the edge coupler good potentials on silica platform.
{"title":"Low-Loss Silica Edge Coupler Based on Cascaded Gratings With Multiple Duty Ratios","authors":"Manzhuo Wang;Jimin Fang;Tingyu Liu;Zhentao Yao;Chaoyang Sun;Xiaoqiang Sun;Yuanda Wu;Daming Zhang","doi":"10.1109/LPT.2024.3483902","DOIUrl":"https://doi.org/10.1109/LPT.2024.3483902","url":null,"abstract":"A silica edge coupler based on cascaded gratings with four different duty ratios is demonstrated. Finite-difference time-domain method is adopted in the coupler optimization. Ultraviolet photolithography, plasma etching and chemical vapor deposition have been adopted in the coupler preparation. When the refractive index difference between the silica core and cladding layers is 2%, the measured coupling loss is 0.52 dB/facet at the wavelength 1550 nm. The bandwidth with a penalty less than 1 dB/facet exceeds 318 nm (1300 nm - 1507 nm and 1509 nm - 1620 nm). Features of large alignment tolerance promise the edge coupler good potentials on silica platform.","PeriodicalId":13065,"journal":{"name":"IEEE Photonics Technology Letters","volume":"36 24","pages":"1425-1428"},"PeriodicalIF":2.3,"publicationDate":"2024-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142565471","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
885 nm laser diode with high Al component AlGaAs barrier layers (HABLs) are designed and fabricated to mitigate carrier leakage. As the height of the potential barrier increases, the internal quantum efficiency increases. The slope efficiency increases from 1.15 W/A to 1.20 W/A, and the characteristic temperature for slope efficiency between $35.0~^{circ }$ C and $55.0~^{circ }$ C increases by 48 K. This letter describes a method for boosting both the slope efficiency and the characteristic temperature for slope efficiency.
{"title":"Improvement of the Performance of 885 nm Laser Diodes by Using the High Al Component Barrier Layers","authors":"Renbo Han;Aiyi Qi;Hongwei Qu;Xuyan Zhou;Wanhua Zheng","doi":"10.1109/LPT.2024.3483934","DOIUrl":"https://doi.org/10.1109/LPT.2024.3483934","url":null,"abstract":"885 nm laser diode with high Al component AlGaAs barrier layers (HABLs) are designed and fabricated to mitigate carrier leakage. As the height of the potential barrier increases, the internal quantum efficiency increases. The slope efficiency increases from 1.15 W/A to 1.20 W/A, and the characteristic temperature for slope efficiency between \u0000<inline-formula> <tex-math>$35.0~^{circ }$ </tex-math></inline-formula>\u0000C and \u0000<inline-formula> <tex-math>$55.0~^{circ }$ </tex-math></inline-formula>\u0000C increases by 48 K. This letter describes a method for boosting both the slope efficiency and the characteristic temperature for slope efficiency.","PeriodicalId":13065,"journal":{"name":"IEEE Photonics Technology Letters","volume":"36 24","pages":"1429-1432"},"PeriodicalIF":2.3,"publicationDate":"2024-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142579177","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study addresses the issues of strong data dependency and limited prediction accuracy in temperature prediction using optical fiber spectroscopy technology by proposing a small-sample optical fiber spectroscopy-based temperature prediction method leveraging deep learning. This method aims to achieve high-precision temperature prediction with limited data samples through the powerful feature extraction and generalization capabilities of deep learning models. To achieve this goal, we first designed a precise experimental protocol to collect optical fiber spectroscopy data covering a temperature range from 30°C to 130°C, resulting in 84 high-quality data samples under controlled temperature variations. In the data processing stage, advanced signal processing techniques were employed to remove noise and outliers, and the data were normalized to ensure reliability and consistency. Subsequently, various models from the deep learning domain were utilized to train and learn from the processed spectroscopy data. By optimizing the model structures and parameters, we successfully established a nonlinear mapping relationship between spectroscopy and temperature. Experimental results demonstrate that compared to traditional methods, the deep learning model exhibits higher prediction accuracy and stronger robustness in spectroscopic temperature prediction, particularly under small-sample conditions. This study not only provides a novel and effective approach for spectroscopic temperature prediction with limited samples but also expands the application scope of deep learning in spectral analysis. Furthermore, this method holds broad application prospects in various fields such as industrial production, environmental monitoring, and biomedicine, promising to offer more precise and efficient solutions for temperature monitoring and control in related areas.
{"title":"Precise Temperature Prediction for Small-Sample Fiber Optic Spectra Based on Deep Learning","authors":"Yin Zhang;Jian Wang;Zhiyuan Xu;Peng Ren;Yuan Li-Bo","doi":"10.1109/LPT.2024.3483210","DOIUrl":"https://doi.org/10.1109/LPT.2024.3483210","url":null,"abstract":"This study addresses the issues of strong data dependency and limited prediction accuracy in temperature prediction using optical fiber spectroscopy technology by proposing a small-sample optical fiber spectroscopy-based temperature prediction method leveraging deep learning. This method aims to achieve high-precision temperature prediction with limited data samples through the powerful feature extraction and generalization capabilities of deep learning models. To achieve this goal, we first designed a precise experimental protocol to collect optical fiber spectroscopy data covering a temperature range from 30°C to 130°C, resulting in 84 high-quality data samples under controlled temperature variations. In the data processing stage, advanced signal processing techniques were employed to remove noise and outliers, and the data were normalized to ensure reliability and consistency. Subsequently, various models from the deep learning domain were utilized to train and learn from the processed spectroscopy data. By optimizing the model structures and parameters, we successfully established a nonlinear mapping relationship between spectroscopy and temperature. Experimental results demonstrate that compared to traditional methods, the deep learning model exhibits higher prediction accuracy and stronger robustness in spectroscopic temperature prediction, particularly under small-sample conditions. This study not only provides a novel and effective approach for spectroscopic temperature prediction with limited samples but also expands the application scope of deep learning in spectral analysis. Furthermore, this method holds broad application prospects in various fields such as industrial production, environmental monitoring, and biomedicine, promising to offer more precise and efficient solutions for temperature monitoring and control in related areas.","PeriodicalId":13065,"journal":{"name":"IEEE Photonics Technology Letters","volume":"36 24","pages":"1397-1400"},"PeriodicalIF":2.3,"publicationDate":"2024-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142555098","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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