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In this paper, a new approach to adaptive direction-of-arrival (DOA) estimation based upon a database retrieval technique is proposed. In this method, angles and signal powers are quantized, and a set of true correlation vectors of the array antenna input vectors for various combinations of the quantized angles and signal powers is stored in a database. The *k*-d tree is then selected as the data structure to facilitate range searching. Estimated a correlation vector, range searching is performed to retrieve several correlation vectors close to it from the *k*-d tree. The DOA and the signal power are estimated by taking the weighted average of angles and powers associated with the retrieved correlation vectors. Unlike the other high-resolution methods, this method requires no eigenvalue computation, thus allowing a fast computation. It is shown through simulation results that the processing speed of the proposed method is much faster than that of the root-MUSIC that requires the eigenvalue decomposition.

- Publication
- IEICE TRANSACTIONS on Communications Vol.E83-B No.12 pp.2694-2701

- Publication Date
- 2000/12/25

- Publicized

- Online ISSN

- DOI

- Type of Manuscript
- PAPER

- Category
- Antenna and Propagation

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Ivan SETIAWAN, Youji IIGUNI, Hajime MAEDA, "A New Approach to Adaptive DOA Estimation Based upon a Database Retrieval Technique" in IEICE TRANSACTIONS on Communications,
vol. E83-B, no. 12, pp. 2694-2701, December 2000, doi: .

Abstract: In this paper, a new approach to adaptive direction-of-arrival (DOA) estimation based upon a database retrieval technique is proposed. In this method, angles and signal powers are quantized, and a set of true correlation vectors of the array antenna input vectors for various combinations of the quantized angles and signal powers is stored in a database. The *k*-d tree is then selected as the data structure to facilitate range searching. Estimated a correlation vector, range searching is performed to retrieve several correlation vectors close to it from the *k*-d tree. The DOA and the signal power are estimated by taking the weighted average of angles and powers associated with the retrieved correlation vectors. Unlike the other high-resolution methods, this method requires no eigenvalue computation, thus allowing a fast computation. It is shown through simulation results that the processing speed of the proposed method is much faster than that of the root-MUSIC that requires the eigenvalue decomposition.

URL: https://global.ieice.org/en_transactions/communications/10.1587/e83-b_12_2694/_p

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@ARTICLE{e83-b_12_2694,

author={Ivan SETIAWAN, Youji IIGUNI, Hajime MAEDA, },

journal={IEICE TRANSACTIONS on Communications},

title={A New Approach to Adaptive DOA Estimation Based upon a Database Retrieval Technique},

year={2000},

volume={E83-B},

number={12},

pages={2694-2701},

abstract={In this paper, a new approach to adaptive direction-of-arrival (DOA) estimation based upon a database retrieval technique is proposed. In this method, angles and signal powers are quantized, and a set of true correlation vectors of the array antenna input vectors for various combinations of the quantized angles and signal powers is stored in a database. The *k*-d tree is then selected as the data structure to facilitate range searching. Estimated a correlation vector, range searching is performed to retrieve several correlation vectors close to it from the *k*-d tree. The DOA and the signal power are estimated by taking the weighted average of angles and powers associated with the retrieved correlation vectors. Unlike the other high-resolution methods, this method requires no eigenvalue computation, thus allowing a fast computation. It is shown through simulation results that the processing speed of the proposed method is much faster than that of the root-MUSIC that requires the eigenvalue decomposition.},

keywords={},

doi={},

ISSN={},

month={December},}

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TY - JOUR

TI - A New Approach to Adaptive DOA Estimation Based upon a Database Retrieval Technique

T2 - IEICE TRANSACTIONS on Communications

SP - 2694

EP - 2701

AU - Ivan SETIAWAN

AU - Youji IIGUNI

AU - Hajime MAEDA

PY - 2000

DO -

JO - IEICE TRANSACTIONS on Communications

SN -

VL - E83-B

IS - 12

JA - IEICE TRANSACTIONS on Communications

Y1 - December 2000

AB - In this paper, a new approach to adaptive direction-of-arrival (DOA) estimation based upon a database retrieval technique is proposed. In this method, angles and signal powers are quantized, and a set of true correlation vectors of the array antenna input vectors for various combinations of the quantized angles and signal powers is stored in a database. The *k*-d tree is then selected as the data structure to facilitate range searching. Estimated a correlation vector, range searching is performed to retrieve several correlation vectors close to it from the *k*-d tree. The DOA and the signal power are estimated by taking the weighted average of angles and powers associated with the retrieved correlation vectors. Unlike the other high-resolution methods, this method requires no eigenvalue computation, thus allowing a fast computation. It is shown through simulation results that the processing speed of the proposed method is much faster than that of the root-MUSIC that requires the eigenvalue decomposition.

ER -