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    Optical Phase Conjugation Aided Long-Haul Transmission System with Enhanced Signal-to-Noise Ratio and Nonlinear Tolerance
    21.
    发明申请
    Optical Phase Conjugation Aided Long-Haul Transmission System with Enhanced Signal-to-Noise Ratio and Nonlinear Tolerance 有权
    具有增强的信噪比和非线性公差的光相共轭辅助长距离传输系统

    公开(公告)号：US20140099127A1

    公开(公告)日：2014-04-10

    申请号：US14044530

    申请日：2013-10-02

    Applicant: NEC Laboratories America, Inc.

    Inventor： Yue Tian ,  Yue-Kai Huang ,  Shaoliang Zhang

    IPC: H04B10/2507

    CPC classification number: H04B10/2507 ,  H04B10/2543 ,  H04B10/50 ,  H04B10/61

    Abstract: A long haul transmission system uses a digital signal processor DSP instead of an additional optical phase conjugate copier because the optical phase conjugate copier requires high quality optical carrier regeneration to recover the pump and optical PLL to maintain phase matching between signal and pump. Therefore, the use of DSP to process the signal and idler at receiver end greatly simplifies the system setup, increases the system stability and decreases the system cost.

    Abstract translation: 长距离传输系统使用数字信号处理器DSP而不是附加的光学相位共轭复印机，因为光学相位共轭复印机需要高质量的光载波再生以恢复泵浦和光学PLL以维持信号和泵之间的相位匹配。 因此，在接收端使用DSP处理信号和空闲信号大大简化了系统设置，提高了系统稳定性，降低了系统成本。

    TRANSFER LEARNING FOR CASCADED EDFA MODELS ERROR ACCUMULATIONS IN A MULTI-SPAN SYSTEM
    23.
    发明申请
    TRANSFER LEARNING FOR CASCADED EDFA MODELS ERROR ACCUMULATIONS IN A MULTI-SPAN SYSTEM 有权

    公开(公告)号：US20250131283A1

    公开(公告)日：2025-04-24

    申请号：US18901798

    申请日：2024-09-30

    Applicant: NEC Laboratories America, Inc.

    Inventor： Yue-Kai Huang ,  Zehao Wang

    IPC: G06N3/096 ,  G06N3/067

    Abstract: Disclosed are systems and methods directed to transfer learning of cascaded EDFA models error accumulations in a multi-span system in which a two-step method using transfer learning is employed to reduce EDFA model error accumulation in a multi-span system. A first step of employs existing pretrained component-level ML-based EDFA models in chain to create a large synthetic dataset. The synthetic dataset includes all related features and labels for a specific end-to-end link. A source model is trained based on the large synthetic dataset. To accommodate a performance prediction gap between real link condition and the source model, which is trained on synthetic dataset, our method employs a second step that collects a few measurements from the real end-to-end link and makes few-shots learning to transfer the synthesis-data-based source model to real-data-based target model.

    Distributed acoustic sensing using multi-band time-gated digital orthogonal frequency domain reflectometry
    26.
    发明授权
    Distributed acoustic sensing using multi-band time-gated digital orthogonal frequency domain reflectometry 有权

    公开(公告)号：US11543287B2

    公开(公告)日：2023-01-03

    申请号：US17324089

    申请日：2021-05-18

    Applicant: NEC Laboratories America, Inc.

    Inventor： Ezra Ip ,  Yue-Kai Huang

    IPC: G01H9/00

    Abstract: Systems, methods, and structures that provide distributed acoustic sensing using chirped optical pulses of selectable duration and bandwidth, at a frame rate limited by a round-trip propagation time of a fiber under test. Instead of processing a transmitted chirped pulse as a single sequence—our systems, methods, and structures employ a parallel fragmented multiband architecture, where each tributary correlates the received signal with a truncated chirped pulse to obtain the Rayleigh impulse response over its frequency band. By reducing the duration of the chirp processed by each tributary, spatial leakage is reduced at all the tributaries, thus even after combining all the interferometric products from all tributaries using a rotated vector sum, the resultant signal is much less impacted by spatial leakage than by using a conventional TGD-OFDR method.

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