Near-Field Source Localization Using a Special Cumulant Matrix

Han CUI; Gang WEI

doi:10.1587/transcom.E95.B.623

Near-Field Source Localization Using a Special Cumulant Matrix

Han CUI, Gang WEI

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A new near-field source localization algorithm based on a uniform linear array was proposed. The proposed algorithm estimates each parameter separately but does not need pairing parameters. It can be divided into two important steps. The first step is bearing-related electric angle estimation based on the ESPRIT algorithm by constructing a special cumulant matrix. The second step is the other electric angle estimation based on the 1-D MUSIC spectrum. It offers much lower computational complexity than the traditional near-field 2-D MUSIC algorithm and has better performance than the high-order ESPRIT algorithm. Simulation results demonstrate that the performance of the proposed algorithm is close to the Cramer-Rao Bound (CRB).

Publication: IEICE TRANSACTIONS on Communications Vol.E95-B No.2 pp.623-626

Publication Date: 2012/02/01

Publicized

Online ISSN: 1745-1345

DOI: 10.1587/transcom.E95.B.623

Type of Manuscript: LETTER

Category: Antennas and Propagation

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Han CUI, Gang WEI, "Near-Field Source Localization Using a Special Cumulant Matrix" in IEICE TRANSACTIONS on Communications, vol. E95-B, no. 2, pp. 623-626, February 2012, doi: 10.1587/transcom.E95.B.623.
Abstract: A new near-field source localization algorithm based on a uniform linear array was proposed. The proposed algorithm estimates each parameter separately but does not need pairing parameters. It can be divided into two important steps. The first step is bearing-related electric angle estimation based on the ESPRIT algorithm by constructing a special cumulant matrix. The second step is the other electric angle estimation based on the 1-D MUSIC spectrum. It offers much lower computational complexity than the traditional near-field 2-D MUSIC algorithm and has better performance than the high-order ESPRIT algorithm. Simulation results demonstrate that the performance of the proposed algorithm is close to the Cramer-Rao Bound (CRB).
URL: https://globals.ieice.org/en_transactions/communications/10.1587/transcom.E95.B.623/_p

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@ARTICLE{e95-b_2_623,
author={Han CUI, Gang WEI, },
journal={IEICE TRANSACTIONS on Communications},
title={Near-Field Source Localization Using a Special Cumulant Matrix},
year={2012},
volume={E95-B},
number={2},
pages={623-626},
abstract={A new near-field source localization algorithm based on a uniform linear array was proposed. The proposed algorithm estimates each parameter separately but does not need pairing parameters. It can be divided into two important steps. The first step is bearing-related electric angle estimation based on the ESPRIT algorithm by constructing a special cumulant matrix. The second step is the other electric angle estimation based on the 1-D MUSIC spectrum. It offers much lower computational complexity than the traditional near-field 2-D MUSIC algorithm and has better performance than the high-order ESPRIT algorithm. Simulation results demonstrate that the performance of the proposed algorithm is close to the Cramer-Rao Bound (CRB).},
keywords={},
doi={10.1587/transcom.E95.B.623},
ISSN={1745-1345},
month={February},}

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TY - JOUR
TI - Near-Field Source Localization Using a Special Cumulant Matrix
T2 - IEICE TRANSACTIONS on Communications
SP - 623
EP - 626
AU - Han CUI
AU - Gang WEI
PY - 2012
DO - 10.1587/transcom.E95.B.623
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E95-B
IS - 2
JA - IEICE TRANSACTIONS on Communications
Y1 - February 2012
AB - A new near-field source localization algorithm based on a uniform linear array was proposed. The proposed algorithm estimates each parameter separately but does not need pairing parameters. It can be divided into two important steps. The first step is bearing-related electric angle estimation based on the ESPRIT algorithm by constructing a special cumulant matrix. The second step is the other electric angle estimation based on the 1-D MUSIC spectrum. It offers much lower computational complexity than the traditional near-field 2-D MUSIC algorithm and has better performance than the high-order ESPRIT algorithm. Simulation results demonstrate that the performance of the proposed algorithm is close to the Cramer-Rao Bound (CRB).
ER -