Tao Shang

ViT-SPGD: vision transformer-driven stochastic parallel gradient descent for WFS-less adaptive optics in FSO communication

Zhaokun Li, Xiongchao Liu, Jing Jiang, Tao Shang

In free-space optical communication (FSOC) using wavefront-sensor-less (WFS-less) adaptive optics (AO), stochastic parallel gradient descent (SPGD) is commonly used to mitigate the adverse effects of atmospheric turbulence (AT) and correct the wavefront distortions. However, conventional SPGD often converges slowly and is prone …

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Inter-Core Resource-Aware Deep Reinforcement Learning RMSCA Algorithm in SDM-EONs

Jing Jiang, Y. S Su, Jingchi Cheng, Tao Shang

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Linewidth-Tolerant Cost-Effective Phase-Sensitive OTDR with Simultaneous Loss and Vibration Monitoring Ability

Mengwei Chen, Can Zhao, Tao Shang, Jing Jiang et autres

Leveraging random phase modulation and digital subcarrier multiplexing (DSCM), we experimentally demonstrated a novel cost-effective phase-sensitive optical time-domain reflectometer (φ-OTDR) using a commercial 200-kHz-linewidth laser, with the ability to simultaneously monitor the fiber loss and vibration.

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Full-Phase Distributed Quantum Impossible Differential Cryptanalysis

Kun Zhang, Tao Shang, Yuanjing Zhang, Jianwei Liu

Joint time-frequency fragmentation-aware routing and spectrum assignment algorithm for elastic optical network

Jing Jiang, Mingxuan Yu, Tao Shang

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Random Phase Modulated $\varphi$-OTDR for Simultaneous Loss and Vibration Monitoring

Jingchi Cheng, Can Hui Zhao, Tao Shang, Jing Jiang et autres

We experimentally demonstrated a novel $\varphi$ -OTDR system with the ability to measure loss and vibration simultaneously. The loss measurement accuracy is 0.07 dB and fading-free phase demodulation is realized in a $50-\text{km}$ long fiber span.

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Multi-Link Fragmentation-Aware Deep Reinforcement Learning RSA Algorithm in Elastic Optical Network

Jing Jiang, Y. S Su, Jingchi Cheng, Tao Shang

Deep reinforcement learning has been extensively applied for resource allocation in elastic optical networks. However, many studies focus on link-level state analysis and rarely discuss the influence between links, which may affect the performance of allocation algorithms. In this paper, we propose …

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StarCross: Redactable blockchain-based secure and lightweight data sharing framework for satellite-based IoT

Ruizhong Du, Tianyang Chen, Jin Tian, Tao Shang

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Metal elements in atmospheric aerosols during different pollution events in the coastal region of the Yellow Sea: Concentration, solubility and deposition flux

Tao Shang, Lingdong Kong, Jianhua Qi

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Broadband photonic frequency measurement based on the frequency-to-carrier phase-shifted mapping and finite extinction ratio

Xiongchao Liu, Zhaokun Li, Tao Shang, Yinling Zhang et autres

A novel frequency measurement is proposed based on frequency-to-carrier phase-shifted mapping and finite extinction ratio. Due to the frequency dependence of the dispersion phase shift, carrier phase-shifted double-sideband modulation and dispersive effect are combined for effective mapping. Additionally, the finite extinction ratio …

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A High-Resolution Time Reversal Method for Target Localization in Reverberant Environments

Huiying Ma, Tao Shang, Gufeng Li, Zhaokun Li

Reverberation in real environments is an important factor affecting the high resolution of target sound source localization (SSL) methods. Broadband low-frequency signals are common in real environments. This study focuses on the localization of this type of signal in reverberant environments. Because …

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Sound Source Localization Method Based on Time Reversal Operator Decomposition in Reverberant Environments

Huiying Ma, Tao Shang, Gufeng Li, Zhaokun Li

Predicting sound sources in reverberant environments is a challenging task because reverberation causes reflection and scattering of sound waves, making it difficult to accurately determine the position of the sound source. Due to the characteristics of overcoming multipath effects and adaptive focusing …

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