Distributed Rate-Constrained LCMV Beamforming
Jie Zhang (TU Delft - Signal Processing Systems)
Andreas I. Koutrouvelis (TU Delft - Signal Processing Systems)
Richard Heusdens (TU Delft - Signal Processing Systems)
Richard C. Hendriks (TU Delft - Signal Processing Systems)
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Abstract
In this letter, we propose a decentralized framework for rate-distributed linearly constrained minimum variance (LCMV) beamforming in wireless acoustic sensor networks. To save the energy usage within the network, we propose to minimize the transmission cost and put a constraint on the noise reduction performance. Subsequently, we decentralize the obtained LCMV filter structure by exploiting an imposed block diagonal form of the noise correlation matrix. As a result, the beamformer weights are calculated in a decentralized fashion and each node can determine its quantization rate locally. Finally, numerical results validate the proposed method.