Distributed Rate-Constrained LCMV Beamforming

Zhang, J.; Koutrouvelis, A.; Heusdens, R.; Hendriks, R.C.

doi:10.1109/LSP.2019.2905161

Distributed Rate-Constrained LCMV Beamforming

Title

Distributed Rate-Constrained LCMV Beamforming

Author

Zhang, J. (TU Delft Signal Processing Systems)
Koutrouvelis, A. (TU Delft Signal Processing Systems)
Heusdens, R. (TU Delft Signal Processing Systems)
Hendriks, R.C. (TU Delft Signal Processing Systems)

Date

2019

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.

Subject

acoustic sensor networks
distributed beamforming
energy usage
LCMV
noise reduction
Rate allocation

To reference this document use:

http://resolver.tudelft.nl/uuid:d9eef6d7-8dc5-49e0-ab51-a630b07ef323

DOI

https://doi.org/10.1109/LSP.2019.2905161

ISSN

1070-9908

Source

IEEE Signal Processing Letters, 26 (5), 675-679

Part of collection

Institutional Repository