Acoustic imaging is difficult to achieve in noisy and reverberant environments. Microphone arrays offer an effective approach to obtaining a clean recording of desired acoustic signals in these environments. In this paper, we have designed, implemented, and evaluated a 64-node microphone array system for acoustic imaging. We have applied a delay-and-sum beamforming algorithm for sound source amplification in a noisy environment, and have explored the uses of the array and beamformer by generating the sound intensity map to reconstruct the acoustic scene of interest. Our experimental results show a mean error of 1.1 degrees for sound source localization, and a mean error of 13.1 degrees for source separation. In addition, we also used the system to image seven different materials with audible sound, and obtained their reconstructed acoustic maps as well as frequency response curves, from which we are able to detect the differences between textures based on their acoustic response powers.

Additional Metadata
Keywords Acoustic imaging, array signal processing, beamforming, microphone array, object detection
Persistent URL dx.doi.org/10.1109/ISSPIT.2015.7394321
Conference 15th IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2015
Citation
Su, F. (Feng), & Joslin, C. (2016). Acoustic imaging using a 64-node microphone array and beamformer system. Presented at the 15th IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2015. doi:10.1109/ISSPIT.2015.7394321