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An ESPRIT-based approach for 2-D localization of incoherently distributed sources in massive MIMO systems

An ESPRIT-based approach for 2-D localization of incoherently distributed sources in massive MIMO systems
An ESPRIT-based approach for 2-D localization of incoherently distributed sources in massive MIMO systems
In this paper, an approach of estimating signal parameters via rotational invariance technique (ESPRIT) is proposed for two-dimensional (2-D) localization of incoherently distributed (ID) sources in large-scale/massive multiple-input multiple-output (MIMO) systems. The traditional ESPRIT-based methods are valid only for one-dimensional (1-D) localization of the ID sources. By contrast, in the proposed approach the signal subspace is constructed for estimating the nominal azimuth and elevation direction-of-arrivals and the angular spreads. The proposed estimator has closed-form expressions and hence it does not have to search over the entire feasible field. Therefore, it imposes significantly lower computational complexity than the conventional 2-D estimation approaches. Our analysis shows that the estimation performance of the proposed approach improves when the large-scale/massive MIMO systems are employed. The approximate Cramér-Rao bound of the proposed estimator for the 2-D localization is also derived. Numerical results demonstrate that albeit the proposed estimation method is comparable with the traditional 2-D estimators in terms of performance, it benefits from a remarkably lower computational complexity
Angular spread, direction-of-arrival (DOA), large-scale/massive multiple-input multiple-output (LS-MIMO/ massive MIMO), two-dimensional (2-D) localization, very large arrays.
996-1011
Hu, Anzhong
e5ebe069-5fe3-4772-9db4-cfdf6ab46edc
Lv, Tiejun
fb465673-1068-4cae-bb94-93ab1dd63f4d
Gao, Hui
d1b095e6-df29-4eb6-b7fb-efa6baf8e162
Zhang, Zhang
9b809e47-8313-4d54-8b2b-70eb18085e23
Yang, Shaoshi
df1e6c38-ff3b-473e-b36b-4820db908e60
Hu, Anzhong
e5ebe069-5fe3-4772-9db4-cfdf6ab46edc
Lv, Tiejun
fb465673-1068-4cae-bb94-93ab1dd63f4d
Gao, Hui
d1b095e6-df29-4eb6-b7fb-efa6baf8e162
Zhang, Zhang
9b809e47-8313-4d54-8b2b-70eb18085e23
Yang, Shaoshi
df1e6c38-ff3b-473e-b36b-4820db908e60

Hu, Anzhong, Lv, Tiejun, Gao, Hui, Zhang, Zhang and Yang, Shaoshi (2014) An ESPRIT-based approach for 2-D localization of incoherently distributed sources in massive MIMO systems. [in special issue: on Signal Processing for Large-Scale MIMO Communications] IEEE Journal of Selected Topics in Signal Processing, 8 (5), 996-1011. (doi:10.1109/JSTSP.2014.2313409).

Record type: Article

Abstract

In this paper, an approach of estimating signal parameters via rotational invariance technique (ESPRIT) is proposed for two-dimensional (2-D) localization of incoherently distributed (ID) sources in large-scale/massive multiple-input multiple-output (MIMO) systems. The traditional ESPRIT-based methods are valid only for one-dimensional (1-D) localization of the ID sources. By contrast, in the proposed approach the signal subspace is constructed for estimating the nominal azimuth and elevation direction-of-arrivals and the angular spreads. The proposed estimator has closed-form expressions and hence it does not have to search over the entire feasible field. Therefore, it imposes significantly lower computational complexity than the conventional 2-D estimation approaches. Our analysis shows that the estimation performance of the proposed approach improves when the large-scale/massive MIMO systems are employed. The approximate Cramér-Rao bound of the proposed estimator for the 2-D localization is also derived. Numerical results demonstrate that albeit the proposed estimation method is comparable with the traditional 2-D estimators in terms of performance, it benefits from a remarkably lower computational complexity

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Published date: October 2014
Keywords: Angular spread, direction-of-arrival (DOA), large-scale/massive multiple-input multiple-output (LS-MIMO/ massive MIMO), two-dimensional (2-D) localization, very large arrays.
Organisations: Southampton Wireless Group

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Local EPrints ID: 363230
URI: http://eprints.soton.ac.uk/id/eprint/363230
PURE UUID: 07cfe9da-0013-4eba-b055-76b427e280a0

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Date deposited: 21 Mar 2014 14:17
Last modified: 14 Mar 2024 16:20

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Contributors

Author: Anzhong Hu
Author: Tiejun Lv
Author: Hui Gao
Author: Zhang Zhang
Author: Shaoshi Yang

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