Raza, A. and Liu, W. orcid.org/0000-0003-2968-2888 (2018) Revisit of the eigenfilter method for the design of FIR filters and wideband beamformers. Systems Science & Control Engineering, 6 (1). pp. 482-491. ISSN 2164-2583
Abstract
The least squares-based eigenfilter method has been applied to the design of both finite impulse response (FIR) filters and wideband beamformers successfully. It involves calculating the resultant filter coefficients as the eigenvector of an appropriate Hermitian matrix, and offers lower complexity and less computation time with better numerical stability as compared to the standard least squares method. In this paper, we revisit the method and critically analyse the eigenfilter method by revealing a serious performance issue in the passband of the designed FIR filter and the mainlobe of the wideband beamformer, which occurs due to a formulation problem. A solution is then proposed to mitigate this issue by imposing an additional constraint to control the response at the passband/mainlobe, and design examples for both FIR filters and wideband beamformers are provided to demonstrate the effectiveness of the proposed method.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2018 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
Keywords: | Least squares; eigenfilter; filter design; wideband beamformer; constrained design |
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: | 22 Oct 2018 15:37 |
Last Modified: | 22 Nov 2018 13:07 |
Published Version: | https://doi.org/10.1080/21642583.2018.1539928 |
Status: | Published |
Publisher: | Taylor & Francis Open |
Refereed: | Yes |
Identification Number: | 10.1080/21642583.2018.1539928 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:136248 |