@inproceedings{ef92314491ce4b42bfc2a2743ce26e3a,
title = "Distributed sparse MVDR beamforming using the bi-alternating direction method of multipliers",
abstract = "Until now, distributed acoustic beamforming has focused on optimizing for a beamformer over an entire network, with each node contributing to the beamformer output. We present a novel approach that introduces sparsity to this beamformer computation, where we attempt to optimize for a subset of nodes within the network that produce SNR gains roughly equivalent to that of the optimal MVDR case. Due to the physical nature of sound, this approach trades a small loss in SNR for a large reduction in communication power and iterations required to produce a beamformer output by reducing the active node set of our network. Our approach operates in a fully distributed and asynchronous manner and does not require a high update iteration rate to produce an output at each sample.",
keywords = "Distributed, beamforming, sensor networks, sparse",
author = "Matt O'Connor and Kleijn, {W. Bastiaan} and Thushara Abhayapala",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 41st IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016 ; Conference date: 20-03-2016 Through 25-03-2016",
year = "2016",
month = may,
day = "18",
doi = "10.1109/ICASSP.2016.7471646",
language = "English",
series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "106--110",
booktitle = "2016 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016 - Proceedings",
address = "United States",
}