Anbiyaei, MR, Liu, W and McLernon, DC (2016) Performance Improvement for Wideband DOA estimation with White Noise Reduction Based on Uniform Linear Arrays. In: Sensor Array and Multichannel Signal Processing Workshop Proceedings, 2016. IEEE 9th Sensor Array and Multichannel Signal Processing Workshop (SAM 2016), 10-13 Jul 2016, Rio de Janeiro, Brazil. Institute of Electrical and Electronics Engineers ISBN 978-1-5090-2103-1
Abstract
A method is proposed for reducing the effect of white noise in wide- band uniform linear arrays via a combination of a judiciously de- signed transformation followed by highpass filters. The reduced noise level leads to a higher signal to noise ratio for the system, which can have a significant effect on the performance of various direction of arrival (DOA) estimation methods. As a representative example, the compressive sensing-based wideband DOA estimation method is employed here to demonstrate the improved estimation performance, this is confirmed by simulation results.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2016, IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, 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 component of this work in other works. |
Keywords: | uniform linear arrays; Wideband arrays; direction of arrival estimations; white noise reduction |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Institute of Communication & Power Networks (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 20 Sep 2016 11:03 |
Last Modified: | 26 Jan 2018 05:37 |
Published Version: | https://doi.org/10.1109/SAM.2016.7569673 |
Status: | Published |
Publisher: | Institute of Electrical and Electronics Engineers |
Identification Number: | 10.1109/SAM.2016.7569673 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:104686 |