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检索条件"机构=State Key Laboratory on Advanced Optical Communication System and Networks"

共 3537 条记录，以下是391-400 订阅

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InteGrated Spatial Photonic Ising Sampler Based on High-Uniformity 1 × 8 Multi-Mode Interferometer

InteGrated Spatial Photonic Ising Sampler Based on High-Unif...

引用

Asia communications and Photonics Conference and Exhibition (ACP)

作者： Xin Ye Wenjia Zhang Zuyuan He State Key Laboratory of Advanced Optical Communication Systems and Networks Shanghai Jiao Tong University Shanghai China

We propose an integrated spatial photonic Ising sampler using a high-uniformity multi-mode interferometer. It minimizes discrete and continuous spin Hamiltonians, achieves programmable spin couplings and external magn... 详细信息

ISBN: (数字)9798350379266

ISBN: (纸本)9798350379273

关键词： Couplings optical interferometry optical design Photonic integrated circuits optical computing optical fiber communication optical coupling Service-oriented architecture Magnetic fields Photonics

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Chaotic Feature Masking Against Attacks on Emitter Identification

Chaotic Feature Masking Against Attacks on Emitter Identific...

引用

International Conference on optical communications and networks (ICOCN)

作者： L. Mingye Zhi Chai Xinran Huang Yilin Qiu Xuelin Yang State Key Laboratory of Advanced Optical Communication Systems and Networks Shanghai Jiao Tong University Shanghai China

A security approach is proposed to mask the specific emitter identification (ID) attacks by generating 10 320 chaotic ID features. The success rate of forgery attacks is 90% at 20 dB is verified for the authorized de... 详细信息

ISBN: (数字)9798350367652

ISBN: (纸本)9798350367669

A security approach is proposed to mask the specific emitter identification (ID) attacks by generating 10 320 chaotic ID features. The success rate of forgery attacks is <11%, and the recognition accuracy >90% at 20 dB is verified for the authorized devices.

关键词： Accuracy Chaotic communication Neural networks Authentication optical fiber communication Forgery Security

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A Transformer-Based Optronic Neural Network for SAR Target Recognition

A Transformer-Based Optronic Neural Network for SAR Target R...

引用

IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Zicheng Huang Fengyuan Hu Lingyu Wang Jiahui Ma Jia Fu Yesheng Gao Xingzhao Liu State Key Laboratory of Advanced Optical Communication Systems and Networks Shanghai Jiao Tong University Shanghai China

ISBN: (数字)9798350360325

ISBN: (纸本)9798350360332

Transformer has shown great capability in remote sensing and automatic target recognition (ATR). Due to the self-attention mechanism, the Transformer could extract global features while parallelizing training. However, the computational costs and power consumption are challenging the electronic computing techniques. Here, we develop a Transformer-based optronic neural network (TOPNN) for synthetic aperture radar (SAR) target recognition. We implement the self-attention mechanism in optics, significantly reducing the network computational costs. Compared with digital techniques, the TOPNN promises the speed of light, low computational costs, and low power consumption. Experiments on the Moving and Stationary Target Acquisition and Recognition (MSTAR) dataset demonstrate the feasibility and efficiency of TOPNN for SAR target recognition.

关键词： Training Power demand Target recognition Neural networks Transformers Feature extraction Optics

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Slow Light Enhanced on-chip Stimulated Brillouin Scattering

Slow Light Enhanced on-chip Stimulated Brillouin Scattering

引用

Conference on Lasers and Electro-Optics (CLEO)

作者： Mingyu Xu Peng Lei Yunhui Bai Zhangyuan Chen Xiaopeng Xie State Key Laboratory of Advanced Optical Communication Systems and Networks School of Electronics Peking University Beijing China

We report slow-light enhancement of stimulated Brillouin scattering on SOI for the fisrt time. With suspended Bragg grating structure, the device achieve a 2.1-fold of Brillouin gain coeffiecient.

ISBN: (纸本)9798350369311

We report slow-light enhancement of stimulated Brillouin scattering on SOI for the fisrt time. With suspended Bragg grating structure, the device achieve a 2.1-fold of Brillouin gain coeffiecient.

关键词： Bragg gratings Slow light Measurement by laser beam Waveguide lasers Electro-optic effects Silicon Brillouin scattering system-on-chip Electro-optical waveguides

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Speckle-Based Residual Optronic Convolutional Neural Network for SAR Target Recognition in Scattering Imaging Scenarios

Speckle-Based Residual Optronic Convolutional Neural Network...

引用

IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Zicheng Huang Fengyuan Hu Lingyu Wang Guozheng Xu Mengyang Shi Yesheng Gao State Key Laboratory of Advanced Optical Communication Systems and Networks Shanghai Jiao Tong University Shanghai China

ISBN: (数字)9798350360325

ISBN: (纸本)9798350360332

Scattering imaging is a pervasive scenario in many areas, especially challenging the performance of remote sensing and automatic target recognition (ATR). Recently, deep learning was utilized for synthetic aperture radar (SAR) ATR in scattering scenarios by extracting the feature of speckle patterns. However, huge computational costs and power consumption challenge its development. Here, we develop a speckle-based residual optronic convolutional neural network (S-ROPCNN) for SAR target recognition. Specifically, we model the light scattering scenarios and build the optical imaging system to produce the speckle patterns for network training. The S-ROPCNN performs SAR target recognition in optical platforms with the speed of light, low computational cost, and low energy consumption. Experiments on the Moving and Stationary Target Acquisition and Recognition (MSTAR) dataset demonstrate the feasibility of S-ROPCNN for SAR target recognition in scattering imaging scenarios.

关键词： Image recognition Power demand Target recognition Scattering Speckle Feature extraction optical imaging

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Maniputing Brillouin Scattering on Chip Using Suspended Anti-Resonant Acoustic Waveguides

Maniputing Brillouin Scattering on Chip Using Suspended Anti...

引用

Conference on Lasers and Electro-Optics (CLEO)

作者： Peng Lei Mingyu Xu Yunhui Bai Zhangyuan Chen Xiaopeng Xie State Key Laboratory of Advanced Optical Communication Systems and Networks School of Electronics Peking University Beijing China

Inspired by the anti-resonant properties of hollow-core fibers, we introduce suspended anti-resonant acoustic waveguides for on-chip phonon confinement and selection. It enables record-breaking achievements in forward... 详细信息

ISBN: (纸本)9798350369311

关键词： Acoustic waveguides Waveguide lasers Phonons Lasers and electrooptics Acoustics Brillouin scattering system-on-chip Electro-optical waveguides Fiber lasers

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A Novel Slim Dual-Band Monopole Antenna for Distribution Network Fault Diagnosis

A Novel Slim Dual-Band Monopole Antenna for Distribution Net...

引用

International Conference on Microwave and Millimeter Wave Technology Proceedings

作者： Xu Zhao Jie Ma Lianlin Li State Key Laboratory of Advanced Optical Communication Systems and Networks School of Electronics Peking University Beijing China

ISBN: (数字)9798350389968

ISBN: (纸本)9798350389975

A novel slim dual-band monopole antenna is presented in this paper. The proposed antenna consists of five metal strips, one monopole strip, two lower strips on both sides connected to the monopole strip, and two upper strips above the lower strips. All strips are printed on a FR4 substrate, which is perpendicular to the infinite PEC ground. Another FR4 substrate is placed between the strips and ground for isolating the current and potential capacitance matching structure. The simulated magnitude of ${{S}_{11}}$ of the proposed antenna reaches -20 dB on the expected frequencies 300 and 600 MHz. Benefited from its special frequency bands, robust structure and portability, the proposed antenna can be used for fault diagnosis of distribution network.

关键词： Microwave antennas Fault diagnosis Microwave technology Microwave integrated circuits Millimeter wave technology Dual band Distribution networks

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Erbium-Doped Lithium Niobate Waveguide Amplifier with Internal Net Gain Exceeding 20 dB

Erbium-Doped Lithium Niobate Waveguide Amplifier with Intern...

引用

Conference on Lasers and Electro-Optics (CLEO)

作者： Minglu Cai Tianyi Li Xujia Zhang Xianyi Cao Long Wang Yuanbin Liu Jianping Chen Kan Wu State Key Laboratory of Advanced Optical Communication Systems and Networks Shanghai Jiao Tong University Shanghai China

The 10-cm long erbium-doped lithium niobate waveguide amplifier can achieve 52.2 dB signal enhancement with a 22.2 dB internal net gain at 1531 nm, which exceeds 20 dB at 45% wavelengths of the C-band.

ISBN: (纸本)9798350369311

关键词： C-band Lithium niobate Waveguide lasers Erbium-doped fiber amplifiers Lasers and electrooptics Gain Electro-optical waveguides

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optical Ranging Using Coherent Kerr Soliton Dual Microcombs with Extended Ambiguity Distance

Optical Ranging Using Coherent Kerr Soliton Dual Microcombs ...

引用

Conference on Lasers and Electro-Optics (CLEO)

作者： Yang Shen Yuechen Yang Kailu Zhou Yuanzhuo Ding Tinghao Jiang Guangqiang He State Key Laboratory of Advanced Optical Communication Systems and Networks Shanghai Jiao Tong University Shanghai China

We propose a dual-comb ranging method using coherent dual microcombs generated by single pump and thermo-optic tuning of resonances. This scheme provides the compatibility of low-bandwidth detectors and potential of r... 详细信息

ISBN: (纸本)9798350369311

关键词： Electric potential optical solitons optical detectors Lasers and electrooptics Distance measurement Real-time systems optical pumping Laser tuning Pump lasers Electro-optical waveguides

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laboratory Simulation of Electromagnetic Radiation Signals from Distribution Network Faults using USRP

Laboratory Simulation of Electromagnetic Radiation Signals f...

引用

International Conference on Microwave and Millimeter Wave Technology Proceedings

作者： Jie Ma Zhuo Wang Xu Zhao Lianlin Li State Key Laboratory of Advanced Optical Communication Systems and Networks School of Electronics Peking University Beijing China

ISBN: (数字)9798350389968

ISBN: (纸本)9798350389975

Distribution networks exhibit a significantly higher failure probability compared to transmission networks, thereby constituting the primary source of power system disruptions. The early detection and diagnosis of anomalies within these networks are paramount to ensure timely maintenance and to facilitate the swift restoration of power electronic systems. Monitoring the electromagnetic signals emitted by the distribution network enables the assessment of its operational state and facilitates the prognostication of potential faults. However, the sporadic nature of these faults presents a challenge in amassing data solely from real-world occurrences, underscoring the necessity of simulating fault signal generation within a controlled laboratory environment. This paper advocates for the utilization of Universal Software Radio Peripheral (USRP) technology to synthesize fault signals. It further corroborates the viability of this approach by juxtaposing the empirical outcomes with theoretical predictions.

关键词： Deep learning Partial discharges Simulation Prevention and mitigation Distribution networks Electromagnetic radiation Power electronics

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