Tian, Y., Gao, X., Liu, W. orcid.org/0000-0003-2968-2888 et al. (1 more author) (2022) Phase compensation based localization of mixed far-field and near-field sources. IEEE Wireless Communications Letters, 11 (3). pp. 598-601. ISSN 2162-2337
Abstract
For mixed far-field (FF) and near-field (NF) source localization, most existing algorithms are developed for the scenario where the number of available data samples N is much larger than the number of sensors M. Different from these methods, this letter attempts to deal with the scenario where M is large and of the same order of magnitude as N. To obtain a satisfied performance in such a scenario, the phase compensation result of the spike covariance matrix is first utilized to construct a modified spectral function and successively realize the DOA estimation of FF sources. Then, we exploit the oblique projection operation to extract the NF sources. Finally, DOA and range estimation for NF sources is achieved via two one-dimensional (1-D) spectral searches, where the reconstructed manifold vector combining the phase compensation result is used. The effectiveness of the proposed algorithm is demonstrated by computer simulations.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2021 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: | Source localization; far-field; near-field; phase compensation; modified spectral function |
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: | 04 Jan 2022 14:19 |
Last Modified: | 22 Dec 2022 01:13 |
Status: | Published |
Publisher: | Institute of Electrical and Electronics Engineers (IEEE) |
Refereed: | Yes |
Identification Number: | 10.1109/lwc.2021.3137488 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:181897 |