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Updated: Jun 11, 2026

Characterization of SiN Integrated Optical Phased Arrays on a Wafer-Scale Test Station
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Angle-sensor-assisted auto-coupling system for high-speed wide-field optical wireless communication.

Fei Zhang, Tianyi Zhang, Jiahan Tian

    Applied Optics
    |June 10, 2026
    PubMed
    Summary
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    This study introduces a sensor-aided alignment strategy for infrared optical wireless communication (OWC) to overcome limited field-of-view (FOV) challenges. LiDAR-based angle sensing enables robust, precise beam alignment for reliable, high-speed OWC links.

    Area of Science:

    • Optical Wireless Communication
    • Wireless Networking
    • Sensing and Sensor Networks

    Background:

    • Infrared optical wireless communication (OWC) offers high bandwidth and security but faces challenges with limited terminal field-of-view (FOV), hindering line-of-sight (LoS) link establishment.
    • Traditional beam alignment methods often rely on blind searches, which are inefficient and time-consuming, especially in dynamic environments.

    Purpose of the Study:

    • To develop and evaluate an auxiliary strategy for efficient beam alignment in wide-FOV OWC systems.
    • To transform the traditional blind search alignment process into a deterministic one using real-time incident of angle (IoA) information.

    Main Methods:

    • Integration of an external angle-sensing module with a wide-FOV telecentric receiver architecture.
    • Systematic evaluation of three angle-sensing modalities: monocular vision, binocular stereo vision, and LiDAR scanning.

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    Last Updated: Jun 11, 2026

    Characterization of SiN Integrated Optical Phased Arrays on a Wafer-Scale Test Station
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    Published on: April 1, 2020

    A Silicon-tipped Fiber-optic Sensing Platform with High Resolution and Fast Response
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  • Implementation of a "coarse-to-fine" two-stage alignment mechanism using LiDAR-derived IoA and a non-coaxial correction algorithm.
  • Main Results:

    • LiDAR-based sensing demonstrated superior robustness, maintaining angular error below 0.714° across a 3m range and 100° FOV, unlike vision-based methods degrading beyond 1.3m.
    • The sensor-aided alignment enabled micron-level auto-coupling with a peak steady-state efficiency of 54.2% using a single fiber.
    • A 10 Gbps OOK-modulated OWC link was successfully maintained within a 100° FOV, meeting forward error correction (FEC) requirements.

    Conclusions:

    • Sensor-aided alignment significantly simplifies terminal architecture and accelerates link acquisition in OWC systems.
    • The proposed LiDAR-based approach provides a viable pathway for robust and reliable wide-FOV optical wireless networks.
    • This strategy overcomes the limitations of narrow FOV terminals, enhancing the practicality of OWC technology.