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".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Em conjunto com uma aproximação da série de Taylor de primeira ordem do vetor de varredura espacial, esta carta apresenta uma estimativa de direção de chegada (DOA) de classificação iterativa de múltiplos sinais (MUSIC) para sinais de acesso múltiplo por divisão de código. Esta abordagem leva a um problema simples de otimização unidimensional para encontrar cada grade de busca ideal iterativa. Ele pode não apenas estimar com precisão o DOA, mas também acelerar o processo de estimativa. Os resultados do computador demonstram a eficácia do algoritmo proposto.
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Ann-Chen CHANG, Jui-Chung HUNG, "DOA Estimation Using Iterative MUSIC Algorithm for CDMA Signals" in IEICE TRANSACTIONS on Communications,
vol. E92-B, no. 10, pp. 3267-3269, October 2009, doi: 10.1587/transcom.E92.B.3267.
Abstract: In conjunction with a first-order Taylor series approximation of the spatial scanning vector, this letter presents an iterative multiple signal classification (MUSIC) direction-of-arrival (DOA) estimation for code-division multiple access signals. This approach leads to a simple one-dimensional optimization problem to find each iterative optimal search grid. It can not only accurately estimate DOA, but also speed up the estimating process. Computer results demonstrate the effectiveness of the proposed algorithm.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E92.B.3267/_p
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@ARTICLE{e92-b_10_3267,
author={Ann-Chen CHANG, Jui-Chung HUNG, },
journal={IEICE TRANSACTIONS on Communications},
title={DOA Estimation Using Iterative MUSIC Algorithm for CDMA Signals},
year={2009},
volume={E92-B},
number={10},
pages={3267-3269},
abstract={In conjunction with a first-order Taylor series approximation of the spatial scanning vector, this letter presents an iterative multiple signal classification (MUSIC) direction-of-arrival (DOA) estimation for code-division multiple access signals. This approach leads to a simple one-dimensional optimization problem to find each iterative optimal search grid. It can not only accurately estimate DOA, but also speed up the estimating process. Computer results demonstrate the effectiveness of the proposed algorithm.},
keywords={},
doi={10.1587/transcom.E92.B.3267},
ISSN={1745-1345},
month={October},}
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TY - JOUR
TI - DOA Estimation Using Iterative MUSIC Algorithm for CDMA Signals
T2 - IEICE TRANSACTIONS on Communications
SP - 3267
EP - 3269
AU - Ann-Chen CHANG
AU - Jui-Chung HUNG
PY - 2009
DO - 10.1587/transcom.E92.B.3267
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E92-B
IS - 10
JA - IEICE TRANSACTIONS on Communications
Y1 - October 2009
AB - In conjunction with a first-order Taylor series approximation of the spatial scanning vector, this letter presents an iterative multiple signal classification (MUSIC) direction-of-arrival (DOA) estimation for code-division multiple access signals. This approach leads to a simple one-dimensional optimization problem to find each iterative optimal search grid. It can not only accurately estimate DOA, but also speed up the estimating process. Computer results demonstrate the effectiveness of the proposed algorithm.
ER -