A Low Complexity Algorithm for Azimuth/Elevation Angle Estimation by Using Alternate Subspace Projections

Yung-Yi WANG

doi:10.1093/ietcom/e90-b.1.114

A Low Complexity Algorithm for Azimuth/Elevation Angle Estimation by Using Alternate Subspace Projections

Yung-Yi WANG

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A one dimensional (1-D) based tree structure algorithm is proposed for estimating the 2D-DOAs of the signals impinging on a uniform rectangular array. The key idea of the proposed algorithm is to successively utilize the 1-D MUSIC algorithm several times, in tree structure, to estimate the azimuth and the elevation angles independently. Subspace projectors are exploited in conjunction with the 1-D MUSIC algorithms to decompose the received signal into several signals each coordinated by its own 2D-DOA. The pairing of the azimuth estimates and the associated elevation estimates is naturally determined due to the tree structure of the algorithm.

Publication: IEICE TRANSACTIONS on Communications Vol.E90-B No.1 pp.114-121

Publication Date: 2007/01/01

Publicized

Online ISSN: 1745-1345

DOI: 10.1093/ietcom/e90-b.1.114

Type of Manuscript: PAPER

Category: Antennas and Propagation

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Yung-Yi WANG, "A Low Complexity Algorithm for Azimuth/Elevation Angle Estimation by Using Alternate Subspace Projections" in IEICE TRANSACTIONS on Communications, vol. E90-B, no. 1, pp. 114-121, January 2007, doi: 10.1093/ietcom/e90-b.1.114.
Abstract: A one dimensional (1-D) based tree structure algorithm is proposed for estimating the 2D-DOAs of the signals impinging on a uniform rectangular array. The key idea of the proposed algorithm is to successively utilize the 1-D MUSIC algorithm several times, in tree structure, to estimate the azimuth and the elevation angles independently. Subspace projectors are exploited in conjunction with the 1-D MUSIC algorithms to decompose the received signal into several signals each coordinated by its own 2D-DOA. The pairing of the azimuth estimates and the associated elevation estimates is naturally determined due to the tree structure of the algorithm.
URL: https://globals.ieice.org/en_transactions/communications/10.1093/ietcom/e90-b.1.114/_p

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@ARTICLE{e90-b_1_114,
author={Yung-Yi WANG, },
journal={IEICE TRANSACTIONS on Communications},
title={A Low Complexity Algorithm for Azimuth/Elevation Angle Estimation by Using Alternate Subspace Projections},
year={2007},
volume={E90-B},
number={1},
pages={114-121},
abstract={A one dimensional (1-D) based tree structure algorithm is proposed for estimating the 2D-DOAs of the signals impinging on a uniform rectangular array. The key idea of the proposed algorithm is to successively utilize the 1-D MUSIC algorithm several times, in tree structure, to estimate the azimuth and the elevation angles independently. Subspace projectors are exploited in conjunction with the 1-D MUSIC algorithms to decompose the received signal into several signals each coordinated by its own 2D-DOA. The pairing of the azimuth estimates and the associated elevation estimates is naturally determined due to the tree structure of the algorithm.},
keywords={},
doi={10.1093/ietcom/e90-b.1.114},
ISSN={1745-1345},
month={January},}

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TY - JOUR
TI - A Low Complexity Algorithm for Azimuth/Elevation Angle Estimation by Using Alternate Subspace Projections
T2 - IEICE TRANSACTIONS on Communications
SP - 114
EP - 121
AU - Yung-Yi WANG
PY - 2007
DO - 10.1093/ietcom/e90-b.1.114
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E90-B
IS - 1
JA - IEICE TRANSACTIONS on Communications
Y1 - January 2007
AB - A one dimensional (1-D) based tree structure algorithm is proposed for estimating the 2D-DOAs of the signals impinging on a uniform rectangular array. The key idea of the proposed algorithm is to successively utilize the 1-D MUSIC algorithm several times, in tree structure, to estimate the azimuth and the elevation angles independently. Subspace projectors are exploited in conjunction with the 1-D MUSIC algorithms to decompose the received signal into several signals each coordinated by its own 2D-DOA. The pairing of the azimuth estimates and the associated elevation estimates is naturally determined due to the tree structure of the algorithm.
ER -