Sound localization using compressive sensing

Localization of sound events has applications in multi-modal sensor network for security and surveillance. In a sensor network with remote sensor devices, it is important to have a method that can accurately localize a sound event with a small amount of data transmitted from the sensors. In this paper, we propose a novel method for localization of a sound source using compressive sensing. Instead of sampling a large amount of data at the Nyquist sampling rate in time domain, the acoustic sensors take compressive measurements integrated in time. The compressive measurements can be used to accurately compute the location of a sound source. By using compressive sensing, the sensors only need to capture and transmit a small amount of compressive measurements, so that the data can be transmitted reliably with low power consumption.