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arXiv 1509.00564physics.optics
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光子集成电路中的全C波段亚GHz分辨率奈奎斯特滤波(解)交织器

Full-C-band, sub-GHz-resolution Nyquist-filtering (de)interleaver in photonic integrated circuit

Leimeng Zhuang, Chen Zhu, Bill Corcoran, Maurizio Burla, Chris G. H. Roeloffzen, Arne Leinse, Jochen Schröder, Arthur J. Lowery

摘要:

奈奎斯特波分复用(N-WDM)技术是下一代高速弹性网络中非常有前途的技术。在N-WDM中,奈奎斯特滤波是控制信道频谱效率的基本功能。然而,迄今为止,大多数奈奎斯特滤波器的实现需要昂贵的、高功耗的数字电子器件或庞大的光学元件的复杂布置,这阻碍了它们用于奈奎斯特超级信道的奈奎斯特信道整形和可重构光分插复用器(ROADM)等重要功能的采用。在这里,我们提出了一个独特的解决方案,具有低成本,高能效,简单的设备性质,这是一个片上的光学奈奎斯特滤波(解)交织器具有亚GHz的分辨率和近矩形通带与8%的过渡带。这种前所未有的性能由包括双环谐振器辅助的马赫-曾德尔干涉仪的简单光子集成电路提供,其特征在于使用高折射率对比度Si 3 N4波导的高电路紧凑性,同时显示出亚皮秒光学延迟精度,从而能够在超过4THz的带宽上实现具有25 GHz的超过160个有效自由光谱范围的全C波段覆盖。这些器件显示出在芯片级实现N-WDM收发器和ROADM的明显潜力。

英文摘要:

Nyquist wavelength division (de)multiplexing (N-WDM) is a highly promising technique for next-generation high-speed elastic networks. In N-WDM, Nyquist filtering is an essential function that governs the channel spectral efficiency. However, most Nyquist filter implementations to date require either expensive, power-hungry digital electronics or complex arrangements of bulky optical components, hindering their adoption for important functions such as Nyquist channel shaping and reconfigurable optical add-drop multiplexers (ROADMs) for Nyquist super-channels. Here, we present a distinctive solution with low-cost, power-efficient, and simple-device natures, which is an on-chip optical Nyquist-filtering (de)interleaver featuring sub-GHz resolution and a near-rectangular passband with 8% transition band. This unprecedented performance is provided by a simple photonic integrated circuit comprising a two-ring-resonator-assisted Mach-Zehnder interferometer, which features high circuit compactness using high-index-contrast Si3N4 waveguide, while showing sub-picosecond optical delay accuracy enabling full C-band coverage with more than 160 effective free spectral ranges of 25 GHz across a bandwidth over 4 THz. Such devices show clear potential for chip-scale realization of N-WDM transceivers and ROADMs.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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