Abstract
Today, we are often surrounded by a lot of acoustic transceivers, such as smartphones, tablets, and smart speakers. If they constitute an acoustic transceiver network (ATN), they can be exploited for various acoustic signal processing tasks. In this letter, we propose a decentralized frame-work for geometry calibration in ATNs. Based on direction-of-arrival (DoA) and time-difference-of-arrival (TDoA) measurements, the self-localization is first implemented in local coordinate systems from different nodes. Subsequently, a distributed consensus approach is derived, which maps these local coordinates to a common one. As a result, the inconsistency among local coordinates is eliminated, and the nodes are localized in a virtual coordinate system. Finally, numerical results validate the proposed method.
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