Decoupled 3-D Near-Field Source Localization with UCA via Centrosymmetric Subarrays

Bum-Soo KWON; Tae-Jin JUNG; Chang-Hong SHIN; Kyun-Kyung LEE

doi:10.1587/transcom.E94.B.3143

Decoupled 3-D Near-Field Source Localization with UCA via Centrosymmetric Subarrays

Bum-Soo KWON, Tae-Jin JUNG, Chang-Hong SHIN, Kyun-Kyung LEE

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A novel algorithm is presented for estimating the 3-D location (azimuth angle, elevation angle, and range) of multiple sources with a uniform circular array (UCA). Based on its centrosymmetric property, a UCA is divided into two subarrays. The steering vectors for these subarrays then yield a 2-D direction of arrival (DOA)-related rotational invariance property in the signal subspace, which enables 2-D DOA estimations using a generalized-ESPRIT algorithm. Based on the estimated 2-D DOAs, a range estimation can then be obtained for each source by defining the 1-D MUSIC spectrum. Despite its low computational complexity, the proposed algorithm can almost match the performance of the benchmark estimator 3-D MUSIC.

Publication: IEICE TRANSACTIONS on Communications Vol.E94-B No.11 pp.3143-3146

Publication Date: 2011/11/01

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Online ISSN: 1745-1345

DOI: 10.1587/transcom.E94.B.3143

Type of Manuscript: LETTER

Category: Antennas and Propagation

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Bum-Soo KWON, Tae-Jin JUNG, Chang-Hong SHIN, Kyun-Kyung LEE, "Decoupled 3-D Near-Field Source Localization with UCA via Centrosymmetric Subarrays" in IEICE TRANSACTIONS on Communications, vol. E94-B, no. 11, pp. 3143-3146, November 2011, doi: 10.1587/transcom.E94.B.3143.
Abstract: A novel algorithm is presented for estimating the 3-D location (azimuth angle, elevation angle, and range) of multiple sources with a uniform circular array (UCA). Based on its centrosymmetric property, a UCA is divided into two subarrays. The steering vectors for these subarrays then yield a 2-D direction of arrival (DOA)-related rotational invariance property in the signal subspace, which enables 2-D DOA estimations using a generalized-ESPRIT algorithm. Based on the estimated 2-D DOAs, a range estimation can then be obtained for each source by defining the 1-D MUSIC spectrum. Despite its low computational complexity, the proposed algorithm can almost match the performance of the benchmark estimator 3-D MUSIC.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E94.B.3143/_p

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@ARTICLE{e94-b_11_3143,
author={Bum-Soo KWON, Tae-Jin JUNG, Chang-Hong SHIN, Kyun-Kyung LEE, },
journal={IEICE TRANSACTIONS on Communications},
title={Decoupled 3-D Near-Field Source Localization with UCA via Centrosymmetric Subarrays},
year={2011},
volume={E94-B},
number={11},
pages={3143-3146},
abstract={A novel algorithm is presented for estimating the 3-D location (azimuth angle, elevation angle, and range) of multiple sources with a uniform circular array (UCA). Based on its centrosymmetric property, a UCA is divided into two subarrays. The steering vectors for these subarrays then yield a 2-D direction of arrival (DOA)-related rotational invariance property in the signal subspace, which enables 2-D DOA estimations using a generalized-ESPRIT algorithm. Based on the estimated 2-D DOAs, a range estimation can then be obtained for each source by defining the 1-D MUSIC spectrum. Despite its low computational complexity, the proposed algorithm can almost match the performance of the benchmark estimator 3-D MUSIC.},
keywords={},
doi={10.1587/transcom.E94.B.3143},
ISSN={1745-1345},
month={November},}

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TY - JOUR
TI - Decoupled 3-D Near-Field Source Localization with UCA via Centrosymmetric Subarrays
T2 - IEICE TRANSACTIONS on Communications
SP - 3143
EP - 3146
AU - Bum-Soo KWON
AU - Tae-Jin JUNG
AU - Chang-Hong SHIN
AU - Kyun-Kyung LEE
PY - 2011
DO - 10.1587/transcom.E94.B.3143
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E94-B
IS - 11
JA - IEICE TRANSACTIONS on Communications
Y1 - November 2011
AB - A novel algorithm is presented for estimating the 3-D location (azimuth angle, elevation angle, and range) of multiple sources with a uniform circular array (UCA). Based on its centrosymmetric property, a UCA is divided into two subarrays. The steering vectors for these subarrays then yield a 2-D direction of arrival (DOA)-related rotational invariance property in the signal subspace, which enables 2-D DOA estimations using a generalized-ESPRIT algorithm. Based on the estimated 2-D DOAs, a range estimation can then be obtained for each source by defining the 1-D MUSIC spectrum. Despite its low computational complexity, the proposed algorithm can almost match the performance of the benchmark estimator 3-D MUSIC.
ER -