GPU-based real-time beamforming for large arrays of optical wireless acoustic sensors

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  • Pablo Nava Gabriel
    NTT Communication Science Laboratories, Nippon Telegraph and Telephone Corporation
  • Nguyen Hoang Duy
    NTT Communication Science Laboratories, Nippon Telegraph and Telephone Corporation
  • Hioka Yusuke
    Department of Mechanical Engineering, University of Auckland
  • Kamamoto Yutaka
    NTT Communication Science Laboratories, Nippon Telegraph and Telephone Corporation
  • Sato Takashi G.
    NTT Communication Science Laboratories, Nippon Telegraph and Telephone Corporation
  • Shiraki Yoshifumi
    NTT Communication Science Laboratories, Nippon Telegraph and Telephone Corporation
  • Moriya Takehiro
    NTT Communication Science Laboratories, Nippon Telegraph and Telephone Corporation

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Recent optical wireless acoustic sensors have demonstrated the possibility to simultaneously sense massive numbers of audio channels in real time. Although this technology has enabled the deployment of large-scale applications, it raises new challenges from the computational perspective. In this regard, Graphics Processing Units provide significant parallel computational power. However, not all the existent algorithms are GPU-implementable in a straightforward way. This paper discusses signal processing schemes and implementation strategies to achieve real-time broadband beamforming using a single GPU card. The experiments introduced here, show our prototype implementation handling over 120 audio channels in real time. The experimental results further highlight the particular advantages of using a video camera-based approach to improve the beamforming performance.

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