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All-fiber high-resolution computational spectropolarimeter based on speckle pattern

Chinese Optics Letters 2024年第12期22卷 95-100页

作者： Qianyu Zhou Yangyang Wan Xinyu Fan Zuyuan He State Key Laboratory of Advanced Optical Communication Systems and Networks Shanghai Jiao Tong UniversityShanghai 200240China

The lightwave field possesses several dimensional properties,including amplitude,spectrum,phase,and *** measurements of lightwaves have diverse applications ranging from remote sensing to analytical ***,achieving high-resolution simultaneous multi-dimensional measurement of lightwaves remains *** this work,we demonstrate an all-fiber spectropolarimeter based on a speckle pattern obtained from the end of a multi-mode *** proposed system simultaneously achieves a spectral resolution of 100 pm and a polarization resolution of *** polarization measurement errors for three Stokes parameters are 3.37%,1.01%,and 0.84%,respectively,with a mean squared error of 5.3×10^(-5).This work provides novel potential for high-resolution and accurate multi-dimensional lightwave field measurements.

关键词： spectropolarimeter speckle pattern multi-mode fiber

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Reconfigurable Fiber-Optic Time Transfer Network Architecture Based on SD-TTU

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IEEE Internet of Things Journal 2025年第11期12卷 15736-15747页

作者： Xie, Kunfeng Yang, Yansong Wang, Long Hu, liang Chen, Jianping Wu, Guiling Shanghai Jiao Tong University State Key Laboratory of Advanced Optical Communication Systems and Networks Department of Electronic Engineering Shanghai200240 China

Network architectural is indispensable for a wide-area and robust Fiber-optic time transfer (FOTT) network, however, there is currently a deficiency in effective scheme. This article proposed a reconfigurable FOTT network architecture based on software-defined time transfer units (SD-TTU), enhancing the network’s capability for flexible resource allocation, automatic protection and restoration. The architecture consists of three layers: 1) time transfer layer for time signal transmission and clock difference cancellation;2) monitor and control layer for monitoring network states, fault detection, and dynamic reconfiguration of the SD-TTU;and 3) service and configuration layer for customizable service construction and proactive network reconfiguration. A polymorphic software-defined time transfer unit (SD-TTU) is further designed, which can operate as a master station, intermediate station, and slave station using the same hardware. The proposed architecture and the designed SD-TTU are experimentally demonstrated over chained and ring networks, respectively. Network expansion, contraction, topology reconfiguration, failure and fault recovery are validated. The changes of measured mean clock differences are below 43-ps across different scenarios, verifying the robustness and flexibility of the proposed architecture. © 2014 IEEE.

关键词： Clocks

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Dual bulk-boundary correspondence in a nonreciprocal spin-orbit coupled zigzag lattice

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Physical Review B 2024年第4期110卷 L041103-L041103页

作者： lingfang li Chong Hou Gangzhou Wu Yang Ruan Shihua Chen Luqi Yuan Zhenhua Ni School of Physics and Frontiers Science Center for Mobile Information Communication and Security Nanjing 211111 China State Key Laboratory of Advanced Optical Communication Systems and Networks School of Physics and Astronomy

We unveil a relevant non-Hermitian symmetry and hence a dual bulk-boundary correspondence (BBC) from a one-dimensional non-Hermitian Rice-Mele model including on-site dissipation, nonreciprocity, and spin-orbit coupling. To expose this dual BBC, we present the closed-form solutions for spin-up and spin-down edge modes and two explicit topological winding numbers, which are linked to each other to a perfect degree. We also demonstrate the topological zero modes and their strong insensitivity to disorder in the presence of spin-orbit coupling. We anticipate that this dual BBC may offer another route for manipulating spin currents and trigger the research for dual topological insulators in a single zigzag lattice.

关键词： Edge states Symmetry protected topological states Topological insulators Topological phase transition Non-Hermitian systems

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Analog spatiotemporal feature extraction for cognitive radio-frequency sensing with integrated photonics

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light(Science & Applications) 2024年第3期13卷 478-487页

作者： Shaofu Xu Binshuo liu Sicheng Yi Jing Wang Weiwen Zou State Key Laboratory of Advanced Optical Communication Systems and Networks Intelligent Microwave Lightwave Integration Innovation Center(imLic)Department of Electronic EngineeringShanghai Jiao Tong UniversityShanghaiChina

Analog feature extraction(AFE)is an appealing strategy for low-latency and efficient cognitive sensing systems since key features are much sparser than the Nyquist-sampled ***,applying AFE to broadband radio-frequency(RF)scenarios is challenging due to the bandwidth and programmability bottlenecks of analog electronic ***,we introduce a photonics-based scheme that extracts spatiotemporal features from broadband RF signals in the analog *** feature extractor structure inspired by convolutional neural networks is implemented on integrated photonic circuits to process RF signals from multiple antennas,extracting valid features from both temporal and spatial *** of the tunability of the photonic devices,the photonic spatiotemporal feature extractor is trainable,which enhances the validity of the extracted ***,a digital-analog-hybrid transfer learning method is proposed for the effective and low-cost training of the photonic feature *** validate our scheme,we demonstrate a radar target recognition task with a 4-GHz instantaneous *** results indicate that the photonic analog feature extractor tackles broadband RF signals and reduces the sampling rate of analog-to-digital converters to 1/4 of the Nyquist sampling while maintaining a high target recognition accuracy of 97.5%.Our scheme offers a promising path for exploiting the AFE strategy in the realm of cognitive RF sensing,with the potential to contribute to the efficient signal processing involved in applications such as autonomous driving,robotics,and smart factories.

关键词： scheme driving smart

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Comparison of MLSD and M-BCJR for 1.6T Data-Center Interconnects with Brick-wall Bandwidth limitation

Comparison of MLSD and M-BCJR for 1.6T Data-Center Interconn...

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2024 Asia communications and Photonics Conference, ACP 2024 and International Conference on Information Photonics and optical communications, IPOC 2024

作者： Huang, Dangui Zhu, Yixiao Fang, Xiansong Hu, Yimin Zhang, Yikun Zhang, Chenbo Xie, Xiaopeng Zhang, Fan Hu, Weisheng State Key Laboratory of Advanced Optical Communication Systems and Networks Shanghai Jiao Tong University Shanghai China State Key Laboratory of Advanced Optical Communication Systems and Networks Peking University Beijing China

ISBN: (纸本)9798350379266

We experimentally demonstrate single-wavelength 1.6-Tb/s(=8×200Gb/s) data-center interconnects over a 1-km 8-core MCF link. We compare the performance of MLSD and M-BCJR algorithms for FTN transmission under brick-wall bandwidth limitation. The MLSD algorithm achieves 10.19% BER decrease compared with M-BCJR under 40-GHz bandwidth limitation. © 2024 IEEE.

关键词： Bandwidth

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Decomposition-based learning in drone-assisted wireless-powered mobile edge computing networks

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Digital communications and networks 2024年第6期10卷 1769-1781页

作者： Xiaoyi Zhou liang Huang Tong Ye Weiqiang Sun State Key Laboratory of Advanced Optical Communication Systems and Networks Shanghai Jiao Tong UniversityShanghai 200240China College of Computer Science and Technology Zhejiang University of TechnologyHangzhou 310058China

This paper investigates the multi-Unmanned Aerial Vehicle(UAV)-assisted wireless-powered Mobile Edge Computing(MEC)system,where UAVs provide computation and powering services to mobile *** aim to maximize the number of completed computation tasks by jointly optimizing the offloading decisions of all terminals and the trajectory planning of all *** action space of the system is extremely large and grows exponentially with the number of *** this case,single-agent learning will require an overlarge neural network,resulting in insufficient ***,the offloading decisions and trajectory planning are two subproblems performed by different executants,providing an opportunity for *** thus adopt the idea of decomposition and propose a 2-Tiered Multi-agent Soft Actor-Critic(2T-MSAC)algorithm,decomposing a single neural network into multiple small-scale *** the first tier,a single agent is used for offloading decisions,and an online pretrained model based on imitation learning is specially designed to accelerate the training process of this *** the second tier,UAVs utilize multiple agents to plan their *** agent exerts its influence on the parameter update of other agents through actions and rewards,thereby achieving joint *** results demonstrate that the proposed algorithm can be applied to scenarios with various location distributions of terminals,outperforming existing benchmarks that perform well only in specific *** particular,2T-MSAC increases the number of completed tasks by 45.5%in the scenario with uneven terminal ***,the pretrained model based on imitation learning reduces the convergence time of 2T-MSAC by 58.2%.

关键词： Mobile-edge computing Multi-agent reinforcement learning Offloading decision Trajectory planning Unmanned aerial vehicle Wireless power transfer

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Learnable digital signal processing:a new benchmark of linearity compensation for optical fiber communications

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light(Science & Applications) 2024年第9期13卷 1931-1943页

作者： Zekun Niu Hang Yang Lyu li Minghui Shi Guozhi Xu Weisheng Hu lilin Yi State Key Lab of Advanced Optical Communication Systems and Networks School of Electronic Information and Electrical EngineeringShanghai Jiao Tong UniversityShanghai 200240PR China

The surge in interest regarding the next generation of optical fiber transmission has stimulated the development of digital signal processing(DSP)schemes that are highly cost-effective with both high performance and low *** benchmarks for nonlinear compensation methods,however,traditional DSP designed with block-by-block modules for linear compensations,could exhibit residual linear effects after compensation,limiting the nonlinear compensation *** we propose a high-efficient design thought for DSP based on the learnable perspectivity,called learnable DSP(LDSP).LDSP reuses the traditional DSP modules,regarding the whole DSP as a deep learning framework and optimizing the DSP parameters adaptively based on backpropagation algorithm from a global *** method not only establishes new standards in linear DSP performance but also serves as a critical benchmark for nonlinear DSP *** comparison to traditional DSP with hyperparameter optimization,a notable enhancement of approximately 1.21 dB in the Q factor for 400 Gb/s signal after 1600 km fiber transmission is experimentally demonstrated by combining LDSP and perturbation-based nonlinear compensation *** from the learnable model,LDSP can learn the best configuration adaptively with low complexity,reducing dependence on initial *** proposed approach implements a symbol-rate DSP with a small bit error rate(BER)cost in exchange for a 48%complexity reduction compared to the conventional 2 samples/symbol *** believe that LDSP represents a new and highly efficient paradigm for DSP design,which is poised to attract considerable attention across various domains of optical communications.

关键词： fiber signal optical

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Broadband and fabrication-tolerant 3-dB couplers with topological valley edge modes

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light(Science & Applications) 2024年第8期13卷 1623-1630页

作者： Guo-Jing Tang Xiao-Dong Chen Lu Sun Chao-Heng Guo Meng-Yu li Zhong-Tao Tian Hou-Hong Chen Hong-Wei Wang Qi-Yao Sun Ying-Di Pan Xin-Tao He Yi-Kai Su Jian-Wen Dong School of Physics&State Key Laboratory of Optoelectronic Materials and Technologies Sun Yat-sen UniversityGuangzhou 510275China State Key Laboratory of Advanced Optical Communication Systems and Networks Department of Electronic EngineeringShanghai Jiao Tong UniversityShanghai 200240China

3-dB couplers,which are commonly used in photonic integrated circuits for on-chip information processing,precision measurement,and quantum computing,face challenges in achieving robust performance due to their limited 3-dB bandwidths and sensitivity to fabrication *** address this,we introduce topological physics to nanophotonics,developing a framework for topological 3-dB *** couplers exhibit broad working wavelength range and robustness against fabrication dimensional *** leveraging valley-Hall topology and mirror symmetry,the photonic-crystal-slab couplers achieve ideal 3-dB splitting characterized by a wavelength-insensitive scattering *** analysis confirms the superiority on broad bandwidth of 48 nm and robust splitting against dimensional errors of 20 *** further propose a topological interferometer for on-chip distance measurement,which also exhibits robustness against dimensional *** extension of topological principles to the fields of interferometers,may open up new possibilities for constructing robust wavelength division multiplexing,temperature-drift-insensitive sensing,and optical coherence tomography applications.

关键词： topological splitting insensitive

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3DPF-FBN: video inpainting by jointly 3D-patch filling and neural network refinement

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Science China(Information Sciences) 2022年第7期65卷 251-252页

作者： Yan HUANG Chuanchuan YANG Zhangyuan CHEN State Key Laboratory of Advanced Optical Communication Systems and Networks Department of Electronics Peking University

Dear editor, Video inpainting is a new technology of recovering the lost motion vectors or image blocks during the video sequence transmission. It aims to speculate the correct value of missing voxels from a given video to achieve the automatic inpainting and make the inpainted video frames present a natural visual effect. However, video inpainting remains challenging owing to the difficulties coming from computational complexity, complex scenarios and the high requirement on spatial and temporal consistency.

关键词： video inpainting patch-based searching optical flow neural network refinement

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Fiber Mapping Using Neural networks for Physical-Layer Secure key Distribution 22

Fiber Mapping Using Neural Networks for Physical-Layer Secur...

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22nd International Conference on optical communications and networks, ICOCN 2024

作者： Zhong, Yuhao Huang, Xinran Chai, Zhi li, Mingye Yang, Xuelin Shanghai Jiao Tong University State Key Laboratory of Advanced Optical Communication Systems and Networks China

Neural networks are applied for fiber mapping in unidirectional physical-layer key distribution, where the bi-directional long short-term memory increases the key generation rate from 12.28 to 13.68 Gbps. © 2024 ... 详细信息

ISBN: (纸本)9798350367652

关键词： Multilayer neural networks

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