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DOA and Polarization Parameters Estimation by Exploiting Canonical Polyadic Decomposition of Tensors
Joint Authors
Wang, Ling
Xie, Jian
Zhang, Zhaolin
Liu, Long
Source
Wireless Communications and Mobile Computing
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-02-03
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Information Technology and Computer Science
Abstract EN
A new algorithm to estimate the direction of arrival (DOA) and polarization parameters of signals impinging on an array with electromagnetic (EM) vector-sensors is presented by exploiting the canonical polyadic decomposition (CPD) of tensors.
In addition to spatial and temporal diversities, further information from the polarization domain is considered and used in this paper.
Estimation errors of these parameters are evaluated by the Cramér-Rao lower bound (CRB) benchmark, in the presence of additive white Gaussian noise (AWGN).
The superiority of the proposed algorithm is shown by comparing with the derivative algorithms of MUSIC and ESPRIT.
In the proposed algorithm, the parameters can be estimated by virtue of the diversities of the spatial and polarization belonging to the factor matrices, rather than the conventional subspace which is the foundation of MUSIC and ESPRIT.
Additionally, the classical CPD algorithm based on Alternating Least Squares (ALS) is introduced to verify the efficacy of the proposed CPD algorithm.
Results demonstrate that when the number of snapshots is greater than 50, the proposed algorithm requires a smaller number of snapshots to achieve a high level of performance, compared against the subspace-based algorithms and the ALS-based algorithm.
Furthermore, in the matter of the array with a small number of sensors, the discovered advantage concerning the Root Mean Square Error (RMSE) in estimating the DOA and the polarization state of the signal is noteworthy.
American Psychological Association (APA)
Liu, Long& Wang, Ling& Xie, Jian& Zhang, Zhaolin. 2019. DOA and Polarization Parameters Estimation by Exploiting Canonical Polyadic Decomposition of Tensors. Wireless Communications and Mobile Computing،Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1212251
Modern Language Association (MLA)
Liu, Long…[et al.]. DOA and Polarization Parameters Estimation by Exploiting Canonical Polyadic Decomposition of Tensors. Wireless Communications and Mobile Computing No. 2019 (2019), pp.1-12.
https://search.emarefa.net/detail/BIM-1212251
American Medical Association (AMA)
Liu, Long& Wang, Ling& Xie, Jian& Zhang, Zhaolin. DOA and Polarization Parameters Estimation by Exploiting Canonical Polyadic Decomposition of Tensors. Wireless Communications and Mobile Computing. 2019. Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1212251
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1212251