Chen, H., Jiang, Z., Liu, W. orcid.org/0000-0003-2968-2888 et al. (2 more authors) (2022) Conjugate augmented decoupled 3-D parameters estimation method for near-field sources. IEEE Transactions on Aerospace and Electronic Systems, 58 (5). pp. 4681-4689. ISSN 0018-9251
Abstract
A near-field (NF) source localization method is proposed for two-dimensional (2-D) direction-of-arrival (DOA) and range estimation based on a symmetrical cross array. It first employs the conjugate symmetry property of signal autocorrelation for different time delays to construct a conjugate augmented spatial-temporal cross correlation matrix, then the extended steering vector is decoupled to avoid the usual multi-dimensional (M-D) search based on the properties of the Khatri-Rao product, and finally three one-dimensional (1-D) MUSIC type searches are employed to obtain the results. The proposed method can realize automatic pairing of multiple parameters associated with each source and it also works in the underdetermined case. Furthermore, the stochastic Cramer-Rao lower bound (CRB) with different time delays is derived. As compared with two existing methods, simulation results demonstrate that the proposed method provides satisfactory estimation performance for both the DOA and range parameters at low signal-to-noise ratio (SNR) and with small number of snapshots.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2022 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: | Near-field; spatial-temporal; multipledimensionality decoupled; cross array; automatically paired |
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: | 20 Apr 2022 11:42 |
Last Modified: | 05 Apr 2023 00:13 |
Status: | Published |
Publisher: | Institute of Electrical and Electronics Engineers (IEEE) |
Refereed: | Yes |
Identification Number: | 10.1109/taes.2022.3164864 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:185785 |