Ultra-Broadband Photonic Signal-Processor

超宽带光子信号处理器

• 批准号: 403154259
• 负责人: Professor Dr. Ronald Freund
• 金额: --
• 依托单位: Lehrstuhl für Nachrichtentechnik (LNT)
• 依托单位国家: 德国
• 项目类别: Priority Programmes
• 资助国家: 德国
• 项目状态: 未结题
• 来源: https://gepris.dfg.de/gepris/projekt/403154259?language=en
• 关键词: Ultra; Broadband; Photonic; Signal; Processor

The core objective of the Follow-Up-Project is still the design and realization of a multifunctional Ultra-Broadband-Photonic Signal Processor (UB-PSP), enabling Wavelength Conversion, Optical Phase Conjugation, and Switching of optical channels. Due to the unexpected high values of linear Crosstalk (XT) of the processor samples produced to date, extensive investigations of potential reasons have been carried out. Thus, some of the final tasks of the first project phase got delayed. We will include perturbations by processor-induced linear XT as a parameter for the delayed tasks that we plan to carry out in an upgraded manner in the proposed 2nd project phase. The UB-PSP will be integrated with a conventional coherent optical transmitter/receiver on a single electronic/photonic integrated circuit (EPIC). Thus, a multifunctional optical transmitter/receiver is realized enabling groundbreaking flexibility and the required integration density for future Space-Division-Multiplex- (SDM-) networks. The numerical simulation methods for optical transmission systems with multiple OPC stages over Standard-Single-Mode-Fibers will be applied to find optimized link design rules for optimum performance and capacity. Here, novel methods of machine learning will be employed to identify optimum arrangements of the components and optimum parameter values, for realistic boundary conditions of amplifiers and fibers.A comprehensive numerical simulation tool will be developed to investigate the potential of OPC in communication systems over Few-Mode-Fibers. Thus, new concepts for an effective nonlinear equalization of Space-Division-Multiplexed systems shall be investigated.The numerical methods developed and used for parameter- and design-optimization of the nonlinear waveguide will be extended by concepts of machine-learning to identify optimum waveguide design specifications that are beyond realizability for state-of-the-art processes, but might show superior performance, as an outlookinto future research projects in the field.

后续项目的核心目标仍然是设计和实现多功能超宽带光子信号处理器（UB-PSP），实现波长转换，光相位共轭和光通道交换。由于迄今为止生产的处理器样品的线性串扰（XT）值意外高，因此已对潜在原因进行了广泛的调查。因此，项目第一阶段的一些最后任务被推迟了。我们将包括处理器引起的线性XT的扰动作为延迟任务的参数，我们计划在拟议的第二项目阶段以升级的方式进行。UB-PSP将与传统的相干光发射器/接收器集成在单个电子/光子集成电路（EPIC）上。因此，实现了多功能光发射器/接收器，从而实现了突破性的灵活性和未来空分复用（SDM）网络所需的集成密度。数值模拟方法的光传输系统与多个OPC级在标准单模光纤将被应用到寻找最佳的链路设计规则，以获得最佳的性能和容量。本文将采用机器学习的新方法，针对放大器和光纤的实际边界条件，确定器件的最佳布置和最佳参数值，并开发一个综合的数值模拟工具，研究OPC在少模光纤通信系统中的潜力。因此，将研究用于空分复用系统的有效非线性均衡的新概念。用于非线性波导的参数和设计优化的开发和使用的数值方法将通过机器学习的概念来扩展，以识别最佳波导设计规范，这些规范超出了最先进工艺的可实现性，但可能显示出上级性能，as an outlookinto future未来research研究projects项目in the field领域.