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Compact tunable photonic comb filter on a silicon platform.

Shuang Zheng, Nan Zhou, Yun Long

    Optics Letters
    |July 15, 2017
    PubMed
    Summary

    We developed a tunable silicon photonic comb filter using a Fabry-Perot cavity. This device allows dynamic adjustment of its center wavelength and bandwidth for versatile optical applications.

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    Area of Science:

    • Photonics
    • Integrated Optics
    • Materials Science

    Background:

    • Photonic comb filters are crucial components in optical signal processing and telecommunications.
    • Existing tunable comb filters often face limitations in terms of size, tunability, or integration complexity.
    • Silicon photonics offers a promising platform for miniaturized and cost-effective optical devices.

    Purpose of the Study:

    • To propose and demonstrate a compact, wavelength- and bandwidth-tunable photonic comb filter.
    • To leverage silicon-on-insulator (SOI) technology for integrated optical devices.
    • To achieve dynamic control over the comb filter's spectral characteristics.

    Main Methods:

    • Fabrication of a Fabry-Perot (FP) cavity on a silicon-on-insulator platform.

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  • Integration of two cascaded Sagnac loop mirrors (SLMs) with multimode-interferometer-assisted Mach-Zehnder interferometer (MZI) couplers.
  • Utilizing thermal-optical effects via three phase shifters (microheaters) for dynamic tuning of the FP cavity length and SLM reflectivity.

    • Main Results:

    • Demonstration of a compact, tunable photonic comb filter on a silicon platform.
    • Achieved center wavelength tuning with an efficiency of approximately 0.017 nm/mW.
    • Successfully tuned the bandwidth of the comb filter from 4.37 GHz to 27.6 GHz.

    Conclusions:

    • The proposed silicon photonic comb filter offers a compact and versatile solution for tunable optical filtering.
    • Dynamic control over both center wavelength and bandwidth is achieved through thermal tuning.
    • This technology holds potential for advanced optical communication and signal processing systems.