Anbiyaei, M.R., Liu, W. orcid.org/0000-0003-2968-2888 and McLernon, D.C. (2017) White Noise Reduction for Wideband Beamforming Based on Uniform Rectangular Arrays. In: Digital Signal Processing (DSP), 2017 22nd International Conference on. 2017 22nd International Conference on Digital Signal Processing (DSP), 23-25 Aug 2017, London, United Kingdom. IEEE
Abstract
Two methods are proposed for reducing the effect of white noise in wideband uniform rectangular arrays via a combination of judiciously designed transformations followed by a series of highpass filters. The reduced noise level leads to a higher signal to noise ratio for the system, which in turn results in a clear improvement on the performance of various beamforming applications. As a representative example, the reference signal based (RSB) and the linearly constrained minimum variance (LCMV) beamformers are employed here to demonstrate the improved performance, which is also confirmed by simulations.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. Reproduced in accordance with the publisher's self-archiving policy. |
Keywords: | white noise reduction; wideband beamforming; wideband uniform rectangular arrays; highpass filters; reduced noise level; reference signal; linearly constrained minimum variance beamformers; signal to noise ratio; LCMV beamformers |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Electronic and Electrical Engineering (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 06 Apr 2018 11:08 |
Last Modified: | 06 Apr 2018 11:17 |
Published Version: | https://doi.org/10.1109/ICDSP.2017.8096093 |
Status: | Published |
Publisher: | IEEE |
Refereed: | Yes |
Identification Number: | 10.1109/ICDSP.2017.8096093 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:129294 |