.png){kind=icon}
返回
A two-dimensional arrival angles estimation for L-shaped array based on tensor decomposition
.png){kind=icon}
PRE
AI
DOI：10.1016/j.aeue.2015.01.001.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
This paper discusses the method of Two-Dimensional Angle-Of-Arrival (2-D AIDA) estimation of an L-shaped array based on a tensor decomposition algorithm. The proposed method achieves a high-resolution performance with the assistance of the multiple invariance modeling and the uniqueness property of tensor decomposition. Not only for uncorrelated signals, the tensor-decomposition-based method is also capable to process coherent signals. The authors adopt a modified L-shaped array configuration in which the azimuth and elevation angles can be exploited independently. Moreover, by such configuration, the Cross Correlation Matrix (CCM) is employed to accomplish pair-matching between estimated parameters of both axes. Numerical simulations verified the effectiveness of the proposed method. (C) 2015 Elsevier GmbH. All rights reserved.
Keyword:
Tensor decomposition
L-shaped array
Vandermonde constraint
Pair-matching
CCM
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
A
IF:
3.2
论文数:
5.8K
被引数:
8.3K
机构
暂无机构信息
引用论文
Prevalent and persistent viral infection in cultures of the coral algal endosymbiont Symbiodinium.png)
Coral Reefs
Coral ReefsIF0
PREAI
分享收藏Experimental and Theoretical Study of 2,6‐Difluorophenylnitrene, Its Radical Cation, and Their Rearrangement Products in Argon MatricesChemPhysChem
OAAI
ChemPhysChemIF0
OAAI分享收藏
查看更多内容