Abstract
We propose a new technique for acoustic imaging that employs a back-projection algorithm to process signals from a static ultrasonic microphone array. To obtain the projection data for a target, we integrate the time distribution of received signal powers gained by pulse compression with the Radon transform of a sound field in polar coordinates. The proposed method is expected to improve angular resolution. In this paper, we describe the principle of this algorithm, explaining how it improves the resolution and performs better than conventional methods. Deconvolution is used to improve the quality of the images obtained. We have conducted computer simulations to verify the performance of the proposed algorithm. From these simulations, the angular resolution of the images achieved by the proposed technique was shown to be double that obtained by a conventional beamforming method. In our future work, we plan to conduct experiments with real environments and investigate the theoretical aspects of the proposed method more deeply.
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Mizutani, K., Sugimoto, M., Hashizume, H. (2012). Acoustic Image Reconstruction from Adaptive Microphone Array Signals Using Back Projection. In: Nowicki, A., Litniewski, J., Kujawska, T. (eds) Acoustical Imaging. Acoustical Imaging, vol 31. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-2619-2_26
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DOI: https://doi.org/10.1007/978-94-007-2619-2_26
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Online ISBN: 978-94-007-2619-2
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