Sound localization using compressive sensing
This addresses the need for efficient sound localization in remote sensor networks, though it appears incremental as it applies compressive sensing to a known domain.
The paper tackles the problem of localizing a sound source in a sensor network with limited data transmission by proposing a compressive sensing method that uses time-integrated compressive measurements instead of Nyquist-rate sampling, achieving accurate localization.
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.