The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
이 편지는 대규모 균일 선형 배열에 대한 계산 효율성을 갖춘 향상된 하이브리드 DOA(도착 방향) 추정 방식을 제시합니다. DOA 추정의 분해능을 높이기 위해 이산 푸리에 변환을 기반으로 한 초기 추정기를 적용하여 하나의 스냅샷에 대한 가상 배열 확장을 통해 대략적인 DOA 추정치를 얻습니다. 그런 다음 매우 작은 영역에서 초기에 추정된 방향 벡터에 대한 XNUMX차 테일러 급수 근사를 통해 반복 미세 추정기는 탐색 효율성을 높이는 새로운 방향 벡터를 찾을 수 있습니다. 제안된 방식의 효율성을 입증하기 위해 시뮬레이션 결과가 제공됩니다.
Wei JHANG
Feng Chia University
Shiaw-Wu CHEN
Feng Chia University
Ann-Chen CHANG
Ling Tung University
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부
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
부
@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},}
부
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 -