A5047331436- Optical Network Technologies
- PAPR reduction in OFDM
- Advanced Photonic Communication Systems
- Infrared Target Detection Methodologies
- Particle Accelerators and Free-Electron Lasers
- Advanced Fiber Laser Technologies
- Optical Wireless Communication Technologies
- Advanced X-ray Imaging Techniques
- Optical Systems and Laser Technology
- Superconducting Materials and Applications
- Advanced Optical Sensing Technologies
Tianjin University
2025
Tianjin University of Technology
2022-2023
Rate equations and numerical simulations relying on complex mathematical physical principles are typically used to model directly modulated lasers (DMLs) but have difficulty simulating dynamic DML behavior in real-time under varying conditions due their high complexity. Here, we introduce a data-driven deep learning method DMLs, aiming achieve accuracy with reduced computational This approach employs bidirectional long short-term memory (BiLSTM) enhanced by advanced feature recalibration...
Abstract Fourth-generation synchrotron light sources pursue ultra-high brightness and high spatial coherence, aiming to reduce beam emittance the diffraction-limit, which imposes stricter requirements on stability of storage ring mechanical system. Mechanical support serves as foundation for all physical components, ensuring their corresponding performance. This study utilizes Design Experiments method simulate analyze effects different boundary conditions component structures eigenfrequency...
This letter presents a scheme for obtaining microwave photonic frequency multiplier with low phase noise, in which an optoelectronic oscillator (OEO) is integrated directly modulated laser (DML)-based injection-locking technique. The system achieves multiplication factors of 10 and 20, producing 10.01009 19.99095 GHz signals high side-mode suppression ratios 62.0 50.2 dB. measured single-sideband noise values are −121.87 −111.95 dBc/Hz@10 kHz, 34.9 31.0 dB lower than those traditional...
The high peak-to-average power ratio (PAPR) deteriorates the performance of coherent optical orthogonal frequency division multiplexing (CO-OFDM) systems. Machine learning (ML) has evolved into a powerful technology to reduce PAPR with its flexible ability. We propose joint scheme which adopts iterative partial transmission sequence (IPTS) cascading feedforward neural network (FNN) trained on <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML"...
In coherent optical orthogonal frequency division multiplexing (CO-OFDM) systems, the high peak-average-power ratio (PAPR) is major disadvantage that impacts system performance, which manifested in limiting maximum power of lasers and exacerbating fiber nonlinear effects. Therefore, a novel PAPR reduction scheme using improved selective mapping (ISLM) cascading neural network (NN)-based companding algorithm proposed. Compared with original OFDM single traditional scheme, proposed shows...