IEICE TRANSACTIONS on Fundamentals
Efficient Hybrid DOA Estimation for Massive Uniform Linear Array
Summary :
This letter presents an efficient hybrid direction of arrival (DOA) estimation scheme for massive uniform linear array. In this scheme, the DOA estimator based on a discrete Fourier transform (DFT) is first applied to acquire coarse initial DOA estimates for single data snapshot. And then, the fine DOA is accurately estimated through using the iterative search estimator within a very small region. It iteratively searches for correct DOA vector by minimizing the objective function using a Taylor series approximation of the DOA vector with the one initially estimated. Since the proposed scheme does not need to perform eigen-decomposition and spectrum search while maintaining better DOA estimates, it also has low complexity and real-time capability. Simulation results are presented to demonstrate the efficiency of the proposed scheme.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E102-A No.5 pp.721-724
- Publication Date
- 2019/05/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.E102.A.721
- 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, "Efficient Hybrid DOA Estimation for Massive Uniform Linear Array" in IEICE TRANSACTIONS on Fundamentals,
vol. E102-A, no. 5, pp. 721-724, May 2019, doi: 10.1587/transfun.E102.A.721.
Abstract: This letter presents an efficient hybrid direction of arrival (DOA) estimation scheme for massive uniform linear array. In this scheme, the DOA estimator based on a discrete Fourier transform (DFT) is first applied to acquire coarse initial DOA estimates for single data snapshot. And then, the fine DOA is accurately estimated through using the iterative search estimator within a very small region. It iteratively searches for correct DOA vector by minimizing the objective function using a Taylor series approximation of the DOA vector with the one initially estimated. Since the proposed scheme does not need to perform eigen-decomposition and spectrum search while maintaining better DOA estimates, it also has low complexity and real-time capability. Simulation results are presented to demonstrate the efficiency of the proposed scheme.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E102.A.721/_p
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@ARTICLE{e102-a_5_721,
author={Wei JHANG, Shiaw-Wu CHEN, Ann-Chen CHANG, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Efficient Hybrid DOA Estimation for Massive Uniform Linear Array},
year={2019},
volume={E102-A},
number={5},
pages={721-724},
abstract={This letter presents an efficient hybrid direction of arrival (DOA) estimation scheme for massive uniform linear array. In this scheme, the DOA estimator based on a discrete Fourier transform (DFT) is first applied to acquire coarse initial DOA estimates for single data snapshot. And then, the fine DOA is accurately estimated through using the iterative search estimator within a very small region. It iteratively searches for correct DOA vector by minimizing the objective function using a Taylor series approximation of the DOA vector with the one initially estimated. Since the proposed scheme does not need to perform eigen-decomposition and spectrum search while maintaining better DOA estimates, it also has low complexity and real-time capability. Simulation results are presented to demonstrate the efficiency of the proposed scheme.},
keywords={},
doi={10.1587/transfun.E102.A.721},
ISSN={1745-1337},
month={May},}
Copy
TY - JOUR
TI - Efficient Hybrid DOA Estimation for Massive Uniform Linear Array
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 721
EP - 724
AU - Wei JHANG
AU - Shiaw-Wu CHEN
AU - Ann-Chen CHANG
PY - 2019
DO - 10.1587/transfun.E102.A.721
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E102-A
IS - 5
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - May 2019
AB - This letter presents an efficient hybrid direction of arrival (DOA) estimation scheme for massive uniform linear array. In this scheme, the DOA estimator based on a discrete Fourier transform (DFT) is first applied to acquire coarse initial DOA estimates for single data snapshot. And then, the fine DOA is accurately estimated through using the iterative search estimator within a very small region. It iteratively searches for correct DOA vector by minimizing the objective function using a Taylor series approximation of the DOA vector with the one initially estimated. Since the proposed scheme does not need to perform eigen-decomposition and spectrum search while maintaining better DOA estimates, it also has low complexity and real-time capability. Simulation results are presented to demonstrate the efficiency of the proposed scheme.
ER -
English
