Exploring the Resolution Limit for In-Air Synthetic-Aperture Audio Imaging

Hisham Bedri, Micha Feigin, Petros T. Boufounos, Ramesh Raskar; Proceedings of the IEEE International Conference on Computer Vision (ICCV) Workshops, 2015, pp. 26-31

Abstract


SONAR imaging can detect reflecting objects in the dark and around corners, however many SONAR systems require large phased-arrays and immobile equipment. In order to enable sound imaging with a mobile device, one can move a microphone and speaker in the air to form a large synthetic aperture. We demonstrate resolution limited audio images using a moving microphone and speaker of a mannequin in free-space and a mannequin located around a corner. This paper also explores the 2D resolution limit due to aperture size as well as the time resolution limit due to bandwidth, and proposes Continuous Basis Pursuits (CBP) to super-resolve.

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[bibtex]
@InProceedings{Bedri_2015_ICCV_Workshops,
author = {Bedri, Hisham and Feigin, Micha and Boufounos, Petros T. and Raskar, Ramesh},
title = {Exploring the Resolution Limit for In-Air Synthetic-Aperture Audio Imaging},
booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV) Workshops},
month = {December},
year = {2015}
}