Dong, Y.-Y., Dong, C., Liu, W. orcid.org/0000-0003-2968-2888 et al. (2 more authors) (2018) A structure-aware DOA estimation method for sources with short known waveforms. IEEE Access, 6. pp. 71271-71278. ISSN 2169-3536
Abstract
For direction of arrival (DOA) estimation with known waveform information, with a larger number of snapshots and a longer duration of the known waveforms, the required storage space for hardware implementation will increase. To save storage resources and also reduce the response time of the array system, the DOA estimation problem with short known waveforms in snapshot size is studied in this paper. We first establish the connection between DOA estimation for known waveform sources and the structured least squares (SLS) technique utilizing a potential rotation invariant property. Next, a constraint is formulated and then transformed into its real and imaginary parts to satisfy the requirements of SLS, and the resultant SLS optimization problem is solved iteratively. Simulation results show that the proposed method has a better performance than the existing DEML method for small numbers of snapshots.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2018 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: | Direction of arrival estimation; known waveform; short snapshot size; structured least squares |
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: | 28 Feb 2019 13:16 |
Last Modified: | 28 Feb 2019 13:16 |
Published Version: | https://doi.org/10.1109/ACCESS.2018.2881684 |
Status: | Published |
Publisher: | IEEE |
Refereed: | Yes |
Identification Number: | 10.1109/ACCESS.2018.2881684 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:143088 |