Self-localization of wireless acoustic sensors in meeting rooms

This paper presents a passive acoustic self-localization and synchronization system, which estimates the positions of wireless acoustic sensors utilizing the signals emitted by the persons present in the same room. The system is designed to utilize common off-the-shelf devices such as mobile phones. Once devices are self-localized and synchronized, the system could be utilized by traditional array processing methods. The proposed calibration system is evaluated with real recordings from meeting scenarios. The proposed system builds on earlier work with the added contribution of this work is i) increasing the accuracy of positioning, and ii) introduction data-driven data association. The results show that improvement over the existing methods in all tested recordings with 10 smartphones.