Optical Square QAM Signal Emulation Using All-Optical PAM to QAM Signal Conversion
    24.
    发明申请
    Optical Square QAM Signal Emulation Using All-Optical PAM to QAM Signal Conversion 有权
    使用全光PAM到QAM信号转换的光学平方QAM信号仿真

    公开(公告)号:US20150104192A1

    公开(公告)日:2015-04-16

    申请号:US14511560

    申请日:2014-10-10

    CPC classification number: H04B10/541 H04B10/676 H04B2210/516

    Abstract: An optical communication method includes converting an optical pulse amplitude modulation (PAM) signal to a square QAM signal using an optical delay interferometer (DI) to perform all-optical PAM to QAM conversion in the DI; performing optical de-correlation of I and Q tributaries of the QAM signal to avoid frequency dependent attenuation in RF cabling which impacts signal quality; and finding optimal phase control mechanism of the DI by monitoring and equalizing down-converted I and Q electrical signal amplitudes, using coherent detection; and emulating a square quadrature amplitude modulation (QAM) optical signal with duplicated data copies.

    Abstract translation: 光通信方法包括使用光学延迟干涉仪(DI)将光脉冲幅度调制(PAM)信号转换为平方QAM信号,以在DI中执行全光PAM至QAM转换; 执行QAM信号的I和Q支路的光学去相关,以避免影响信号质量的RF布线中的频率相关衰减; 并通过监测和均衡下变频的I和Q电信号幅度,使用相干检测找到DI的最佳相位控制机制; 并仿真具有重复数据副本的正方形正交幅度调制(QAM)光信号。

    Long distance distributed fiber optic sensing (DFOS) and WDM communications over repeated fiber spans using all-raman amplification and coding schemes

    公开(公告)号:US12206489B2

    公开(公告)日:2025-01-21

    申请号:US18109247

    申请日:2023-02-13

    Abstract: Aspects of the present disclosure describe distributed fiber optic sensing (DFOS) systems, methods, and structures that advantageously provide DFOS and WDM communications over amplified, multi-span optical WDM optical telecommunications facilities using all Raman amplification and coding schemes. Our all-Raman amplification operates stably—without isolators—and provides sufficient gain to compensate for fiber span loss for both DFOS signals and WDM channel signals—at the same time. Furthermore, our inventive techniques employ signal coding, such as MB-TGD-OFDR for DAS, and we operate our DFOS operation power at a much lower power level as compared to pulse interrogation techniques. With improved OSNR and reduced power using signal coding along with our distributed Raman amplification, our DFOS systems can co-exist with WDM communication channels on the same amplified multi-span fiber optic links over great distances.

    Optical network performance evaluation using a hybrid neural network

    公开(公告)号:US11133865B2

    公开(公告)日:2021-09-28

    申请号:US17106143

    申请日:2020-11-29

    Abstract: Aspects of the present disclosure describe systems, methods. and structures in which a hybrid neural network combining a CNN and several ANNs are shown useful for predicting G-ONSR for Ps-256QAM raw data in deployed SSMF metro networks with 0.27 dB RMSE. As demonstrated, the CNN classifier is trained with 80.96% testing accuracy to identify channel shaping factor. Several ANN regression models are trained to estimate G-OSNR with 0.2 dB for channels with various constellation shaping. Further aspects include the tuning of existing optical networks and the characterization of retrofit/upgraded optical networks to estimate capacity—both aspects employing our inventive hybrid neural network methodology.

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