Distributed sparse MVDR beamforming using the bi-alternating direction method of multipliers
Date
2016
Authors
O'Connor, Matt
Kleijn, W. Bastiaan
Abhayapala, Thushara
Journal Title
Journal ISSN
Volume Title
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
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.
Description
Keywords
Distributed, sparse, beamforming, sensor networks
Citation
Collections
Source
Type
Conference paper
Book Title
2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 20-25 March 2016