Optics Communications最新文献

英文中文

Deep learning based channel equalization method for wireless UV MIMO scattering turbulence channel

IF 2.2 3区物理与天体物理 Q2 OPTICS

Optics Communications

Pub Date : 2025-03-04 DOI: 10.1016/j.optcom.2025.131697

T.A.I.F.E.I. ZHAO , Y.U.Q.I. CHEN , Y.U.X.I.N. SUN , feixiang pan

Aiming at the problems of traditional equalization methods for ultraviolet (UV) multiple-input multiple-output (MIMO) channels in turbulent environments, such as their strong dependence on a priori knowledge of the channel and the low accuracy in coping with the modeling of complex nonlinear channels, this paper proposes a deep-learning-based equalization method for wireless UV-scattering MIMO channels. The method transforms the MIMO signal into a two-dimensional time series, takes the bidirectional long short-term memory (BiLSTM) with bidirectional sequence feature extraction capability as the core, and supplements it with deep neural network for nonlinear modeling to construct a deep learning network model suitable for UV MIMO channel equalization, so as to realize the accurate recovery of the original MIMO signal. Simulation results show that the scheme exhibits stronger BER and MSE performance compared with the least mean square(LMS) algorithm, recursive least squares(LMS) algorithm, and the equalization scheme based on multilayer long and short-term memory(multi-LSTM). At SNR of 9 dB, the scheme reduces the BER by about 67.9%, compared with the equalization scheme based on multi-LSTM, and has stable equalization effects in turbulence environments with different intensities.

{"title":"Deep learning based channel equalization method for wireless UV MIMO scattering turbulence channel","authors":"T.A.I.F.E.I. ZHAO , Y.U.Q.I. CHEN , Y.U.X.I.N. SUN , feixiang pan","doi":"10.1016/j.optcom.2025.131697","DOIUrl":"10.1016/j.optcom.2025.131697","url":null,"abstract":"<div><div>Aiming at the problems of traditional equalization methods for ultraviolet (UV) multiple-input multiple-output (MIMO) channels in turbulent environments, such as their strong dependence on a priori knowledge of the channel and the low accuracy in coping with the modeling of complex nonlinear channels, this paper proposes a deep-learning-based equalization method for wireless UV-scattering MIMO channels. The method transforms the MIMO signal into a two-dimensional time series, takes the bidirectional long short-term memory (BiLSTM) with bidirectional sequence feature extraction capability as the core, and supplements it with deep neural network for nonlinear modeling to construct a deep learning network model suitable for UV MIMO channel equalization, so as to realize the accurate recovery of the original MIMO signal. Simulation results show that the scheme exhibits stronger BER and MSE performance compared with the least mean square(LMS) algorithm, recursive least squares(LMS) algorithm, and the equalization scheme based on multilayer long and short-term memory(multi-LSTM). At SNR of 9 dB, the scheme reduces the BER by about 67.9%, compared with the equalization scheme based on multi-LSTM, and has stable equalization effects in turbulence environments with different intensities.</div></div>","PeriodicalId":19586,"journal":{"name":"Optics Communications","volume":"583 ","pages":"Article 131697"},"PeriodicalIF":2.2,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143562271","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Adaptive multi-task convolutional neural network for optical performance monitoring

IF 2.2 3区物理与天体物理 Q2 OPTICS

Optics Communications

Pub Date : 2025-03-04 DOI: 10.1016/j.optcom.2025.131702

Qinghui Zeng , Yibu Kong , Peng Zhou , Ye Lu

In order to enhance the study of optical communication, we collaboratively monitor modulation format identification (MFI) and optical signal-to-noise ratio (OSNR) estimation using few-shot learning (FSL) and transfer learning techniques. The constellation diagrams were input into the network, with MFI and OSNR classification treated as joint modulation tasks. Utilizing a 16-way-8-shot dataset configuration, the adaptive few-shot transfer learning network (AFTLN) algorithm achieved outstanding performance, attaining 100% accuracy in MFI and 97.29% accuracy in OSNR classification. Ablation studies were conducted on adaptive few-shot meta-learning network (AMCN), adaptive multi-task learning (AMTL), adaptive direct detection network (ADTN), and AFTLN. Notably, only the AFTLN method achieved 100% accuracy in MFI, while its OSNR classification accuracy was approximately 15% higher than that of AMTL. An analysis of the confusion matrix revealed that OSNR classification errors were primarily concentrated around 25 dB for 64QAM and 29 dB for 128QAM. The adaptive weight variation curve was also analyzed, indicating that after approximately 750 epochs, the model primarily concentrated on the first task of MFI. Subsequently, a dataset from optical fibers collected over a distance of 400 km was assembled to validate the feasibility of the proposed algorithms. The classification accuracy for MFI remained at 100%, while the OSNR estimation accuracy was 95.21%, reflecting only a roughly 2% decrease. This demonstrates that the algorithm exhibits strong robustness and is effective in diagnosing optical performance.

{"title":"Adaptive multi-task convolutional neural network for optical performance monitoring","authors":"Qinghui Zeng , Yibu Kong , Peng Zhou , Ye Lu","doi":"10.1016/j.optcom.2025.131702","DOIUrl":"10.1016/j.optcom.2025.131702","url":null,"abstract":"<div><div>In order to enhance the study of optical communication, we collaboratively monitor modulation format identification (MFI) and optical signal-to-noise ratio (OSNR) estimation using few-shot learning (FSL) and transfer learning techniques. The constellation diagrams were input into the network, with MFI and OSNR classification treated as joint modulation tasks. Utilizing a 16-way-8-shot dataset configuration, the adaptive few-shot transfer learning network (AFTLN) algorithm achieved outstanding performance, attaining 100% accuracy in MFI and 97.29% accuracy in OSNR classification. Ablation studies were conducted on adaptive few-shot meta-learning network (AMCN), adaptive multi-task learning (AMTL), adaptive direct detection network (ADTN), and AFTLN. Notably, only the AFTLN method achieved 100% accuracy in MFI, while its OSNR classification accuracy was approximately 15% higher than that of AMTL. An analysis of the confusion matrix revealed that OSNR classification errors were primarily concentrated around 25 dB for 64QAM and 29 dB for 128QAM. The adaptive weight variation curve was also analyzed, indicating that after approximately 750 epochs, the model primarily concentrated on the first task of MFI. Subsequently, a dataset from optical fibers collected over a distance of 400 km was assembled to validate the feasibility of the proposed algorithms. The classification accuracy for MFI remained at 100%, while the OSNR estimation accuracy was 95.21%, reflecting only a roughly 2% decrease. This demonstrates that the algorithm exhibits strong robustness and is effective in diagnosing optical performance.</div></div>","PeriodicalId":19586,"journal":{"name":"Optics Communications","volume":"583 ","pages":"Article 131702"},"PeriodicalIF":2.2,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143592392","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Research on parallel AES encryption algorithm based on a ternary optical computer

IF 2.2 3区物理与天体物理 Q2 OPTICS

Optics Communications

Pub Date : 2025-03-04 DOI: 10.1016/j.optcom.2025.131660

Kai Song , Shuzhe Liu , Hejie Wang , Sheng Yang , Liping Yan , Sulan Zhang

The Advanced Encryption Standard (AES) encryption algorithm has never been broken since its introduction, and its security has been widely recognized and adopted widely by numerous countries and organizations. However, the algorithm requires dozens of iterations and each iteration involves a large number of computations, so there are problems such as low encryption efficiency and high computational costs. Aiming at these problems, this paper combines the characteristics of ternary optical computer (TOC), such as many data bits, parallel computation, three-valued encoding, to study and propose a parallel AES encryption scheme based on TOC. This scheme leverages the parallel advantages of TOC to improve the block-by-block encryption mode in the AES encryption algorithm. By employing a parallel computing strategy, it effectively reduces the execution time of the algorithm and significantly enhances encryption efficiency. In addition, this paper introduces three-valued operation logic on the basis of binary Exclusive OR(XOR) operation and constructs a set of three-valued XOR (T-XOR) standards to further improve the operation efficiency of AES encryption algorithm on TOC. Through the in-depth analysis of the algorithm resource consumption and time efficiency, and combined with the experimental verification, it can be concluded that the parallel AES encryption algorithm based on TOC has better computing efficiency and time effectiveness, which demonstrates the advantages of TOC in dealing with large-scale computing tasks.

{"title":"Research on parallel AES encryption algorithm based on a ternary optical computer","authors":"Kai Song , Shuzhe Liu , Hejie Wang , Sheng Yang , Liping Yan , Sulan Zhang","doi":"10.1016/j.optcom.2025.131660","DOIUrl":"10.1016/j.optcom.2025.131660","url":null,"abstract":"<div><div>The Advanced Encryption Standard (AES) encryption algorithm has never been broken since its introduction, and its security has been widely recognized and adopted widely by numerous countries and organizations. However, the algorithm requires dozens of iterations and each iteration involves a large number of computations, so there are problems such as low encryption efficiency and high computational costs. Aiming at these problems, this paper combines the characteristics of ternary optical computer (TOC), such as many data bits, parallel computation, three-valued encoding, to study and propose a parallel AES encryption scheme based on TOC. This scheme leverages the parallel advantages of TOC to improve the block-by-block encryption mode in the AES encryption algorithm. By employing a parallel computing strategy, it effectively reduces the execution time of the algorithm and significantly enhances encryption efficiency. In addition, this paper introduces three-valued operation logic on the basis of binary Exclusive OR(XOR) operation and constructs a set of three-valued XOR (T-XOR) standards to further improve the operation efficiency of AES encryption algorithm on TOC. Through the in-depth analysis of the algorithm resource consumption and time efficiency, and combined with the experimental verification, it can be concluded that the parallel AES encryption algorithm based on TOC has better computing efficiency and time effectiveness, which demonstrates the advantages of TOC in dealing with large-scale computing tasks.</div></div>","PeriodicalId":19586,"journal":{"name":"Optics Communications","volume":"583 ","pages":"Article 131660"},"PeriodicalIF":2.2,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143562247","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Ring-shaped multi-filament array formation in fused silica using center-blocked femtosecond laser pulses

IF 2.2 3区物理与天体物理 Q2 OPTICS

Optics Communications

Pub Date : 2025-03-03 DOI: 10.1016/j.optcom.2025.131691

Ting Zhang , Dongwei Li , Zhongzheng Zhang , Tao Wei , Zuoqiang Hao , Lanzhi Zhang

This study investigates the filamentation of femtosecond vortex and Gaussian beams in fused silica by blocking the center of the beam with opaque disks of different diameters. The results show that appropriate blocking leads to energy redistribution, resulting in the formation of a ring-shaped multi-filament array in fused silica. Compared to Gaussian beams, vortex beams produce a ring-shaped filament distribution with enhanced integrity and uniformity when the beam center is blocked. By adjusting the disk diameter, the onset, propagation range, and ring diameter of the multi-filament array can be effectively controlled, enabling stable propagation of organized filaments over distances of approximately 30 mm. This method significantly improves the spatial organization of filament distributions. These findings provide a new approach for organizing laser filamentation, with potential applications in laser micromachining and nonlinear optics.

引用次数: 0

Underwater moving targets imaging method under non-uniform active illumination based on single-polarization image

IF 2.2 3区物理与天体物理 Q2 OPTICS

Optics Communications

Pub Date : 2025-03-03 DOI: 10.1016/j.optcom.2025.131695

Bocheng Lu , Nana Yu , Xunuo Ma , Xiaoyu Hui , Bing Ren , Xiaolei Wang , Sixing Xi

Active polarization imaging technology can effectively recover target information in scattering media. However, traditional methods for recovering moving targets often require multiple polarization images with consistent imaging positions, which has high requirements for the number and accuracy of detection equipment, increasing the time and cost of experiments. Additionally, non-uniform illumination from active light sources may further degrade underwater imaging quality. To address these issues, this study propose a single-polarization imaging method for underwater moving targets under active non-uniform illumination, we analyze backscattered intensity at various image positions and correlate it with the backscattered light distributions estimated through low-pass filtering, achieving an accurate global estimation of backscattered light. Subsequently, we improve the dynamic descattering model and introduce single-polarization imaging theory to enhance the stability of recovering moving targets by reducing polarization imaging inputs. Theoretical and experimental findings demonstrate that this method enhances imaging efficiency while achieving clear recovery of moving targets across various turbidity levels, effectively resolving uneven brightness throughout the image. Compared to other dynamic polarization imaging methods, using a single input offers greater practicality for dynamic descattering. The recovery video results of the moving target further demonstrate the effectiveness of this method in dynamic descattering of highly polarized objects.

{"title":"Underwater moving targets imaging method under non-uniform active illumination based on single-polarization image","authors":"Bocheng Lu , Nana Yu , Xunuo Ma , Xiaoyu Hui , Bing Ren , Xiaolei Wang , Sixing Xi","doi":"10.1016/j.optcom.2025.131695","DOIUrl":"10.1016/j.optcom.2025.131695","url":null,"abstract":"<div><div>Active polarization imaging technology can effectively recover target information in scattering media. However, traditional methods for recovering moving targets often require multiple polarization images with consistent imaging positions, which has high requirements for the number and accuracy of detection equipment, increasing the time and cost of experiments. Additionally, non-uniform illumination from active light sources may further degrade underwater imaging quality. To address these issues, this study propose a single-polarization imaging method for underwater moving targets under active non-uniform illumination, we analyze backscattered intensity at various image positions and correlate it with the backscattered light distributions estimated through low-pass filtering, achieving an accurate global estimation of backscattered light. Subsequently, we improve the dynamic descattering model and introduce single-polarization imaging theory to enhance the stability of recovering moving targets by reducing polarization imaging inputs. Theoretical and experimental findings demonstrate that this method enhances imaging efficiency while achieving clear recovery of moving targets across various turbidity levels, effectively resolving uneven brightness throughout the image. Compared to other dynamic polarization imaging methods, using a single input offers greater practicality for dynamic descattering. The recovery video results of the moving target further demonstrate the effectiveness of this method in dynamic descattering of highly polarized objects.</div></div>","PeriodicalId":19586,"journal":{"name":"Optics Communications","volume":"583 ","pages":"Article 131695"},"PeriodicalIF":2.2,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143580720","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Enhancing long-distance optical link performance in MDM systems with multi-stage amplification and systematic design

IF 2.2 3区物理与天体物理 Q2 OPTICS

Optics Communications

Pub Date : 2025-03-01 DOI: 10.1016/j.optcom.2025.131687

Wenxuan Xu , Li Pei , Jianshuai Wang , Zhouyi Hu , Jingjing Zheng , Bing Bai

Few-mode erbium-doped fiber amplifiers (EDFAs) are crucial for long-distance transmission and modal power management. Current research primarily focuses on gain equalization within individual amplifiers. However, the gain of the amplifier is closely related to the input power. Variations in modal loss result in power disparities among different signal modes, causing gain instability and adversely impacting the system's overall performance. In multi-stage links, even a single amplifier with minimal gain discrepancy might create unequal amplification in the subsequent stage due to difference modal losses. After cascading multiple amplifiers, the imbalance will become even more severe. We have designed a target loss compensation erbium-doped fiber for multi-stage amplification. By considering both gain differences and fiber losses, we manipulate the doping structure to intentionally introduce differential modal gain to compensate for various modal losses. With a power disparity threshold set at 2 dB, the tolerance of cascaded inline amplifiers has been enlarged from 2 to 15, significantly extending the permissible relay distance from 250 km to 2000 km. The method no longer focuses solely on the performance of individual amplifiers but examines the power management of the entire link. The results clearly demonstrate the effectiveness of the loss compensation strategy. It provides a robust and practical method for mode power management without increasing the complexity.

{"title":"Enhancing long-distance optical link performance in MDM systems with multi-stage amplification and systematic design","authors":"Wenxuan Xu , Li Pei , Jianshuai Wang , Zhouyi Hu , Jingjing Zheng , Bing Bai","doi":"10.1016/j.optcom.2025.131687","DOIUrl":"10.1016/j.optcom.2025.131687","url":null,"abstract":"<div><div>Few-mode erbium-doped fiber amplifiers (EDFAs) are crucial for long-distance transmission and modal power management. Current research primarily focuses on gain equalization within individual amplifiers. However, the gain of the amplifier is closely related to the input power. Variations in modal loss result in power disparities among different signal modes, causing gain instability and adversely impacting the system's overall performance. In multi-stage links, even a single amplifier with minimal gain discrepancy might create unequal amplification in the subsequent stage due to difference modal losses. After cascading multiple amplifiers, the imbalance will become even more severe. We have designed a target loss compensation erbium-doped fiber for multi-stage amplification. By considering both gain differences and fiber losses, we manipulate the doping structure to intentionally introduce differential modal gain to compensate for various modal losses. With a power disparity threshold set at 2 dB, the tolerance of cascaded inline amplifiers has been enlarged from 2 to 15, significantly extending the permissible relay distance from 250 km to 2000 km. The method no longer focuses solely on the performance of individual amplifiers but examines the power management of the entire link. The results clearly demonstrate the effectiveness of the loss compensation strategy. It provides a robust and practical method for mode power management without increasing the complexity.</div></div>","PeriodicalId":19586,"journal":{"name":"Optics Communications","volume":"583 ","pages":"Article 131687"},"PeriodicalIF":2.2,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143562234","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Research on electro-optical chaotic communication based on optical feedback mutual injection

IF 2.2 3区物理与天体物理 Q2 OPTICS

Optics Communications

Pub Date : 2025-03-01 DOI: 10.1016/j.optcom.2025.131686

Ke-Yuan Mo , Yu-Gang Huang , Zhao-Yun Li , Zhi-Yong Tao , Ya-Xian Fan

In this paper, an electro-optical chaotic communication scheme based on optical feedback inter-injection is proposed, which employs two inter-injection structures consisting of intensity-modulated and phase-modulated feedback branches and introduces optical feedback at the intensity-modulated end to realize a chaotic signal output with high complexity. Simulation results show that when the feedback gain coefficient is 0.6, the alignment entropy of the system reaches more than 0.9, which possesses optical chaotic signal output characteristics with high complexity, and when the feedback gain coefficient is lower than 0.1, the output time series starts bifurcation behavior, which does not require very large feedback gain coefficients under the condition of which the system time-delay characteristics can be hidden. At the same time, the scheme has less influence on the synchronization by the feedback gain coefficient mismatch and higher sensitivity to the time delay mismatch parameter, which indicates that the scheme can enhance the robustness of the system while improving the high security of the system when the time delay is used as the key.

{"title":"Research on electro-optical chaotic communication based on optical feedback mutual injection","authors":"Ke-Yuan Mo , Yu-Gang Huang , Zhao-Yun Li , Zhi-Yong Tao , Ya-Xian Fan","doi":"10.1016/j.optcom.2025.131686","DOIUrl":"10.1016/j.optcom.2025.131686","url":null,"abstract":"<div><div>In this paper, an electro-optical chaotic communication scheme based on optical feedback inter-injection is proposed, which employs two inter-injection structures consisting of intensity-modulated and phase-modulated feedback branches and introduces optical feedback at the intensity-modulated end to realize a chaotic signal output with high complexity. Simulation results show that when the feedback gain coefficient is 0.6, the alignment entropy of the system reaches more than 0.9, which possesses optical chaotic signal output characteristics with high complexity, and when the feedback gain coefficient is lower than 0.1, the output time series starts bifurcation behavior, which does not require very large feedback gain coefficients under the condition of which the system time-delay characteristics can be hidden. At the same time, the scheme has less influence on the synchronization by the feedback gain coefficient mismatch and higher sensitivity to the time delay mismatch parameter, which indicates that the scheme can enhance the robustness of the system while improving the high security of the system when the time delay is used as the key.</div></div>","PeriodicalId":19586,"journal":{"name":"Optics Communications","volume":"583 ","pages":"Article 131686"},"PeriodicalIF":2.2,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143562240","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Biphotons propagation through a thin lens: A Bogoliubov transformation approach

IF 2.2 3区物理与天体物理 Q2 OPTICS

Optics Communications

Pub Date : 2025-03-01 DOI: 10.1016/j.optcom.2025.131658

V.A. Tomilin , A.M. Rostom , L.V. Il’ichov

We consider spatial correlations of biphoton components parametrically generated in a flat and thin non-linear medium and transformed by a thin lens. Utilizing the Bogoliubov transformation, we derive analytical formulae that facilitate the determination of the spatial behavior of the biphoton not only in the image or Fourier planes, but also in any other intermediate planes. We briefly discuss statistical properties of biphoton components in terms of their Bogoliubov coordinates.

引用次数: 0

Target-driven deep learning for optimization design of electromagnetically induced transparency metasurfaces based on lithium tantalate

IF 2.2 3区物理与天体物理 Q2 OPTICS

Optics Communications

Pub Date : 2025-03-01 DOI: 10.1016/j.optcom.2025.131684

Hongyan Meng , Hengli Feng , Jia Liu , Xin Zhang , Shuang Yang , Hanmo Du , Yang Jia , Yuchuan Lin , Yachen Gao

We proposed a target-driven deep learning approach for the optimization design of metasurface. Take electromagnetically induced transparency(EIT)Lithium Tantalate metasurface as example, we showed how the method works. In order to accomplish the optimization design of the metasurface both a forward spectral prediction network (FPN) and an inverse design network (IDN) were designed. The FPN serves as a simulator, it enables rapid optical simulation and design; while the IDN is a hybrid neural network composed of Long Short-Term Memory (LSTM) layer and One-Dimensional Convolutional Layer (Conv1D), which enables rapid and accurate inverse design of metasurfaces. To validate the superior performance, comparative experiments were conducted with fully connected neural networks and One-Dimensional Convolutional Neural Networks (1D-CNN), which demonstrates that our network is both efficient and accurate. By comparing the errors of six structural parameters on the test set, we further analyzed the performance of the inverse design network. Finally, we performed in-depth simulations to investigate the impacts of various structural errors on EIT. Our proposed framework is an efficient strategy for metasurface inverse design, providing a scientific guide for the design of complex, multifunctional metasurfaces.

{"title":"Target-driven deep learning for optimization design of electromagnetically induced transparency metasurfaces based on lithium tantalate","authors":"Hongyan Meng , Hengli Feng , Jia Liu , Xin Zhang , Shuang Yang , Hanmo Du , Yang Jia , Yuchuan Lin , Yachen Gao","doi":"10.1016/j.optcom.2025.131684","DOIUrl":"10.1016/j.optcom.2025.131684","url":null,"abstract":"<div><div>We proposed a target-driven deep learning approach for the optimization design of metasurface. Take electromagnetically induced transparency(EIT)Lithium Tantalate metasurface as example, we showed how the method works. In order to accomplish the optimization design of the metasurface both a forward spectral prediction network (FPN) and an inverse design network (IDN) were designed. The FPN serves as a simulator, it enables rapid optical simulation and design; while the IDN is a hybrid neural network composed of Long Short-Term Memory (LSTM) layer and One-Dimensional Convolutional Layer (Conv1D), which enables rapid and accurate inverse design of metasurfaces. To validate the superior performance, comparative experiments were conducted with fully connected neural networks and One-Dimensional Convolutional Neural Networks (1D-CNN), which demonstrates that our network is both efficient and accurate. By comparing the errors of six structural parameters on the test set, we further analyzed the performance of the inverse design network. Finally, we performed in-depth simulations to investigate the impacts of various structural errors on EIT. Our proposed framework is an efficient strategy for metasurface inverse design, providing a scientific guide for the design of complex, multifunctional metasurfaces.</div></div>","PeriodicalId":19586,"journal":{"name":"Optics Communications","volume":"583 ","pages":"Article 131684"},"PeriodicalIF":2.2,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143562245","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Orthogonal salinity and temperature detection via paralleled dual all-fiber interferometers

IF 2.2 3区物理与天体物理 Q2 OPTICS

Optics Communications

Pub Date : 2025-03-01 DOI: 10.1016/j.optcom.2025.131688

Feng Zhou , Cun Chang , Qing Chang , Haolin Zhang , Zhe Yu , Wangyang Liu , Jianwei Li , Jiuru Yang

In this paper, a novel fiber-optic dual parameter sensor for the accurate temperature and salinity detection is realized by parallel-connecting a micro-open cavity and a polarization-maintaining fiber based Sagnac-loop interferometer. The full-coincided free spectrum range and extinction ratio of fringes are guaranteed to the orthogonality of sensing. Experimental results show that the superimposed spectrum presents obvious intensity variation in temperature tests but an improved wavelength salinity response is gained. The maximum sensitivities reach −3.5 nm/‰ and 4.78 dB/°C, respectively. Therefore, highly-discriminative and highly-sensitive salinity and temperature measurements can be achieved with the errors of 1.21 % and 0.44 %.

引用次数: 0

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