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Adaptive Metasurface-Based Acoustic Imaging using Joint Optimization

Published: 04 June 2024 Publication History

Abstract

Acoustic imaging is attractive due to its ability to work under occlusion, different lighting conditions, and privacy-sensitive environments. Existing acoustic imaging methods require large transceiver arrays or device movement, which makes it challenging to use in many scenarios. In this paper, we develop a novel acoustic imaging system for low-cost devices with few speakers and microphones without any device movement. To achieve this goal, we leverage a 3D-printed passive acoustic metasurface to significantly enhance the diversity of the measurement data, thereby improving the imaging quality. Specifically, we jointly design the transmission signal, transceivers' beamforming weights, metasurface, and imaging algorithm to minimize the imaging reconstruction error in an end-to-end manner. We further develop a scheme to dynamically adapt the imaging resolution based on the distance to the target. We implement a system prototype. Using extensive experiments, we show that our system yields high-quality images across a wide range of scenarios.

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Cited By

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  • (2024)Visar: Projecting Virtual Sound Spots for Acoustic Augmented Reality Using Air NonlinearityProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36785468:3(1-30)Online publication date: 9-Sep-2024
  • (2024)RFCanvas: Modeling RF Channel by Fusing Visual Priors and Few-shot RF MeasurementsProceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems10.1145/3666025.3699351(464-477)Online publication date: 4-Nov-2024
  • (2024)Hybrid Data-Driven and Simulation-Driven Prediction of mmWave Network PerformanceProceedings of the 30th Annual International Conference on Mobile Computing and Networking10.1145/3636534.3694725(1998-2003)Online publication date: 4-Dec-2024

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    cover image ACM Conferences
    MOBISYS '24: Proceedings of the 22nd Annual International Conference on Mobile Systems, Applications and Services
    June 2024
    778 pages
    ISBN:9798400705816
    DOI:10.1145/3643832
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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    Published: 04 June 2024

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    Author Tags

    1. acoustic imaging
    2. compressive sensing
    3. joint optimization

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    View all
    • (2024)Visar: Projecting Virtual Sound Spots for Acoustic Augmented Reality Using Air NonlinearityProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36785468:3(1-30)Online publication date: 9-Sep-2024
    • (2024)RFCanvas: Modeling RF Channel by Fusing Visual Priors and Few-shot RF MeasurementsProceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems10.1145/3666025.3699351(464-477)Online publication date: 4-Nov-2024
    • (2024)Hybrid Data-Driven and Simulation-Driven Prediction of mmWave Network PerformanceProceedings of the 30th Annual International Conference on Mobile Computing and Networking10.1145/3636534.3694725(1998-2003)Online publication date: 4-Dec-2024

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