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Mixed rectilinear sources localization under unknown mutual coupling


Mixed rectilinear sources localization under unknown mutual coupling

Chen, Hua, Liu, Wei, Zhu, Wei-Ping ORCID: https://orcid.org/0000-0001-7955-7044, Swamy, M.N.S. and Wang, Qing (2019) Mixed rectilinear sources localization under unknown mutual coupling. Journal of the Franklin Institute . ISSN 00160032 (In Press)

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Mixed-Rectilinear-Sources-Localization-Under-Unk_2019_Journal-of-the-Frankli.pdf - Accepted Version
Restricted to Repository staff only until 16 January 2021.
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Official URL: http://dx.doi.org/10.1016/j.jfranklin.2019.01.019


In this paper, a novel rectilinearity-based localization method for mixed near-field (NF) and far-field (FF) sources is proposed under unknown mutual coupling. The multiple parameters including direction of arrival (DOA), range and mutual coupling coefficient (MCC) are decoupled, thus only three one-dimensional (1-D) spectral searches are required to estimate the parameters of mixed rectilinear signals successively. Furthermore, the closed-form deterministic Cramer–Rao bound (CRB) of the concerned problem is also derived. Simulation results are provided to demonstrate the effectiveness of the proposed method for the classification and localization of mixed rectilinear sources.

Divisions:Concordia University > Gina Cody School of Engineering and Computer Science > Electrical and Computer Engineering
Item Type:Article
Authors:Chen, Hua and Liu, Wei and Zhu, Wei-Ping and Swamy, M.N.S. and Wang, Qing
Journal or Publication:Journal of the Franklin Institute
Date:16 January 2019
  • Zhejiang Provincial Natural Science Foundation of China under Grant LQ19F010002
  • Natural Science Foundation of Ningbo Municipality under Grant no. 2018A610094
  • National Natural Science Foundation of China under Grant nos. 61628101, 61871282 and 6157125
  • K.C.Wong Magna Fund in Ningbo University
Digital Object Identifier (DOI):10.1016/j.jfranklin.2019.01.019
ID Code:984962
Deposited By: MONIQUE LANE
Deposited On:31 Jan 2019 17:09
Last Modified:31 Jan 2019 17:09


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