Zhang, Z., Leng, W., Wang, A. et al. (2 more authors) (2017) Effective estimation of the desired-signal subspace and its application to robust adaptive beamforming. In: 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) Proceedings. 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, March 5–9, 2017, Hilton New Orleans Riverside New Orleans, Louisiana, USA. IEEE , pp. 3370-3374. ISBN 9781509041176
Abstract
An effective method is proposed to estimate the desired-signal (S) subspace by the intersection between the signal-plus-interference (SI) subspace and a reference space covering the angular region where the desired signal is located. The estimated S subspace is robust to steering vector mismatch and overestimation of the SI subspace, capable of detecting the relative strength of the desired signal. And even the basis of the estimated S subspace can serve as an effective estimation of the steering vector of the desired signal. With these properties, the estimated S subspace can help to select a more accurate narrow area for searching for the steering vector of the desired signal in mismatch cases. The proposed method is applied for robust adaptive beamforming with an improved performance, as demonstrated by simulation results.
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: | Eigenspace; intersection; robust adaptive beamforming (RAB); steering vector estimation |
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: | 16 Aug 2017 13:20 |
Last Modified: | 27 Mar 2018 03:29 |
Published Version: | https://doi.org/10.1109/ICASSP.2017.7952781 |
Status: | Published |
Publisher: | IEEE |
Refereed: | Yes |
Identification Number: | 10.1109/ICASSP.2017.7952781 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:120208 |