RARE-based localization for mixed near-field and far-field rectilinear sources

Chen, H., Zhu, W.-P., Liu, W. orcid.org/0000-0003-2968-2888 et al. (4 more authors) (2019) RARE-based localization for mixed near-field and far-field rectilinear sources. Digital Signal Processing, 85. pp. 54-61. ISSN 1051-2004

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2018 Elsevier. This is an author produced version of a paper subsequently published in Digital Signal Processing. Uploaded in accordance with the publisher's self-archiving policy. Article available under the terms of the CC-BY-NC-ND licence (https://creativecommons.org/licenses/by-nc-nd/4.0/).
Keywords: DOA estimation; Far-field; Near-field; Rectilinear signals; Cramer-Rao bound (CRB)
Dates:
  • Published (online): 28 November 2018
  • Published: February 2019
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 13:27
Last Modified: 28 Feb 2019 16:05
Published Version: https://doi.org/10.1016/j.dsp.2018.11.006
Status: Published
Publisher: Elsevier
Refereed: Yes
Identification Number: https://doi.org/10.1016/j.dsp.2018.11.006
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Filename: DSP_RARE-Based Localization for Mixed Near-Field and Far-Field.pdf

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