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Learning diffractive optical communication around arbitrary opaque occlusions

Author

Listed:
  • Md Sadman Sakib Rahman

    (University of California
    University of California
    University of California)

  • Tianyi Gan

    (University of California
    University of California)

  • Emir Arda Deger

    (University of California)

  • Çağatay Işıl

    (University of California
    University of California
    University of California)

  • Mona Jarrahi

    (University of California
    University of California)

  • Aydogan Ozcan

    (University of California
    University of California
    University of California)

Abstract

Free-space optical communication becomes challenging when an occlusion blocks the light path. Here, we demonstrate a direct communication scheme, passing optical information around a fully opaque, arbitrarily shaped occlusion that partially or entirely occludes the transmitter’s field-of-view. In this scheme, an electronic neural network encoder and a passive, all-optical diffractive network-based decoder are jointly trained using deep learning to transfer the optical information of interest around the opaque occlusion of an arbitrary shape. Following its training, the encoder-decoder pair can communicate any arbitrary optical information around opaque occlusions, where the information decoding occurs at the speed of light propagation through passive light-matter interactions, with resilience against various unknown changes in the occlusion shape and size. We also validate this framework experimentally in the terahertz spectrum using a 3D-printed diffractive decoder. Scalable for operation in any wavelength regime, this scheme could be particularly useful in emerging high data-rate free-space communication systems.

Suggested Citation

  • Md Sadman Sakib Rahman & Tianyi Gan & Emir Arda Deger & Çağatay Işıl & Mona Jarrahi & Aydogan Ozcan, 2023. "Learning diffractive optical communication around arbitrary opaque occlusions," Nature Communications, Nature, vol. 14(1), pages 1-17, December.
    • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-42556-0
    DOI: 10.1038/s41467-023-42556-0
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    References listed on IDEAS

    as
    1. Sébastien Popoff & Geoffroy Lerosey & Mathias Fink & Albert Claude Boccara & Sylvain Gigan, 2010. "Image transmission through an opaque material," Nature Communications, Nature, vol. 1(1), pages 1-5, December.
    2. Matthew O’Toole & David B. Lindell & Gordon Wetzstein, 2018. "Confocal non-line-of-sight imaging based on the light-cone transform," Nature, Nature, vol. 555(7696), pages 338-341, March.
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