Spatial aliasing for efficient direction-of-arrival estimation based on steering vector reconstruction
Spatial aliasing for efficient direction-of-arrival estimation based on steering vector reconstruction
复制标题
基于转向向量重建的有效到达方向估计的空间混叠
DOI：
10.1186/s13634-016-0419-y
复制
发表时间：
2016-11
影响因子：
1.9
通讯作者：
Ming Jin
中科院分区：
文献类型：
--
作者：
Feng-Gang Yan;曹斌;Jia-Jia Rong;Yi Shen;Ming Jin
提出了一种降低均匀线阵多信号分类（MUSIC）DOA估计算法计算复杂度的新方法。该方法将方向矢量重构为另外两个方向矢量的克罗内克积，并推导出一个新的具有空间混叠的代价函数。由于该空间混叠的估计模糊性，生成了与真实DOA数学相关的镜角，基于该镜角，MUSIC算法中涉及的全谱搜索相应地被高度压缩到有限的角扇区中。进一步的复杂性分析和性能研究进行了计算机模拟，这表明，所提出的估计需要一个大大减少的计算负担，而它显示了类似的精度标准MUSIC。
A new technique is proposed to reduce the computational complexity of the multiple signal classification (MUSIC) algorithm for direction-of-arrival (DOA) estimate using a uniform linear array (ULA). The steering vector of the ULA is reconstructed as the Kronecker product of two other steering vectors, and a new cost function with spatial aliasing at hand is derived. Thanks to the estimation ambiguity of this spatial aliasing, mirror angles mathematically relating to the true DOAs are generated, based on which the full spectral search involved in the MUSIC algorithm is highly compressed into a limited angular sector accordingly. Further complexity analysis and performance studies are conducted by computer simulations, which demonstrate that the proposed estimator requires an extremely reduced computational burden while it shows a similar accuracy to the standard MUSIC.
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影响因子：
5.4
作者：
Jong-Woo Shin;Young-Jun Lee;Hyoung-Nam Kim
通讯作者：
Jong-Woo Shin;Young-Jun Lee;Hyoung-Nam Kim
DOI：
10.1109/78.738255
发表时间：
1999
期刊：
IEEE Trans. Signal Process.
影响因子：
--
作者：
J. Ramos;C. P. Mathews;M. Zoltowski
通讯作者：
J. Ramos;C. P. Mathews;M. Zoltowski
影响因子：
5.7
作者：
SWINDLEHURST, A;VIBERG, M
通讯作者：
VIBERG, M
影响因子：
5.4
作者：
Zoltowski, MD;Wong, KT
通讯作者：
Wong, KT
影响因子：
14.9
作者：
Chen, JC;Yao, K;Hudson, RE
通讯作者：
Hudson, RE