IEICE TRANSACTIONS on Fundamentals
Computationally Efficient DOA Estimation for Massive Uniform Linear Array
Summary :
This letter presents an improved hybrid direction of arrival (DOA) estimation scheme with computational efficiency for massive uniform linear array. In order to enhance the resolution of DOA estimation, the initial estimator based on the discrete Fourier transform is applied to obtain coarse DOA estimates by a virtual array extension for one snapshot. Then, by means of a first-order Taylor series approximation to the direction vector with the one initially estimated in a very small region, the iterative fine estimator can find a new direction vector which raises the searching efficiency. Simulation results are provided to demonstrate the effectiveness of the proposed scheme.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E103-A No.1 pp.361-365
- Publication Date
- 2020/01/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.2019EAL2107
- Type of Manuscript
- LETTER
- Category
- Digital Signal Processing
Authors
Wei JHANG
Feng Chia University
Shiaw-Wu CHEN
Feng Chia University
Ann-Chen CHANG
Ling Tung University
Keyword
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Wei JHANG, Shiaw-Wu CHEN, Ann-Chen CHANG, "Computationally Efficient DOA Estimation for Massive Uniform Linear Array" in IEICE TRANSACTIONS on Fundamentals,
vol. E103-A, no. 1, pp. 361-365, January 2020, doi: 10.1587/transfun.2019EAL2107.
Abstract: This letter presents an improved hybrid direction of arrival (DOA) estimation scheme with computational efficiency for massive uniform linear array. In order to enhance the resolution of DOA estimation, the initial estimator based on the discrete Fourier transform is applied to obtain coarse DOA estimates by a virtual array extension for one snapshot. Then, by means of a first-order Taylor series approximation to the direction vector with the one initially estimated in a very small region, the iterative fine estimator can find a new direction vector which raises the searching efficiency. Simulation results are provided to demonstrate the effectiveness of the proposed scheme.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.2019EAL2107/_p
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@ARTICLE{e103-a_1_361,
author={Wei JHANG, Shiaw-Wu CHEN, Ann-Chen CHANG, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Computationally Efficient DOA Estimation for Massive Uniform Linear Array},
year={2020},
volume={E103-A},
number={1},
pages={361-365},
abstract={This letter presents an improved hybrid direction of arrival (DOA) estimation scheme with computational efficiency for massive uniform linear array. In order to enhance the resolution of DOA estimation, the initial estimator based on the discrete Fourier transform is applied to obtain coarse DOA estimates by a virtual array extension for one snapshot. Then, by means of a first-order Taylor series approximation to the direction vector with the one initially estimated in a very small region, the iterative fine estimator can find a new direction vector which raises the searching efficiency. Simulation results are provided to demonstrate the effectiveness of the proposed scheme.},
keywords={},
doi={10.1587/transfun.2019EAL2107},
ISSN={1745-1337},
month={January},}
Copy
TY - JOUR
TI - Computationally Efficient DOA Estimation for Massive Uniform Linear Array
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 361
EP - 365
AU - Wei JHANG
AU - Shiaw-Wu CHEN
AU - Ann-Chen CHANG
PY - 2020
DO - 10.1587/transfun.2019EAL2107
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E103-A
IS - 1
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - January 2020
AB - This letter presents an improved hybrid direction of arrival (DOA) estimation scheme with computational efficiency for massive uniform linear array. In order to enhance the resolution of DOA estimation, the initial estimator based on the discrete Fourier transform is applied to obtain coarse DOA estimates by a virtual array extension for one snapshot. Then, by means of a first-order Taylor series approximation to the direction vector with the one initially estimated in a very small region, the iterative fine estimator can find a new direction vector which raises the searching efficiency. Simulation results are provided to demonstrate the effectiveness of the proposed scheme.
ER -
English
