Speaker
Description
In the context of smart cities, large-scale acoustic sensor networks are vital for the evaluation and control of acoustic noise. The logistical challenge of ensuring calibrated acoustic sensor networks remains a hurdle. We present a portable acoustic source, that can be used for efficient in-situ calibration and failure detection of distributed acoustic sensor nodes. The source’s internal sound field is measured with a MEMS microphone, from which the sound power output of the source can be predicted using a hybrid experimental-numerical mode-decomposition method. We present experimental confirmation that the source’s sound power is accurately predicted and that the acoustic radiation exhibits uniform spatial directivity. Due to its compactness, the source mounted on ground or air vehicles may be used in the future for autonomous calibration in large-scale acoustic sensor networks.