Distributed Distortionless Signal Estimation in Wireless Acoustic Sensor Networks
Wireless microphone networks or so-called Wireless Acoustic Sensor Networks (WASNs) consist of physically distributed microphone nodes that exchange data over wireless links. In this paper, the authors propose a novel distributed distortionless signal estimation algorithm for noise reduction in WASNs. The most important feature of the proposed algorithm is that the nodes broadcast only single-channel signals while still obtaining optimal estimation performance, even in a scenario with multiple desired sources or speakers (in existing distributed methods, this is achieved only in scenarios with a single desired source). The idea is to create a one-dimensional desired signal subspace by using the same reference microphone at all the nodes.