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Novel Sparse Array Design Based on the Maximum Inter-Element Spacing Criterion

delete2022-01-01
delete24
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OA
AI
W
Wanlu Shi
Y
Yingsong Li *
R
Rodrigo C. de Lamare
DOI:10.1109/LSP.2022.3194814delete
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摘要

摘要

En 中文
A novel sparse array (SA) structure is proposed based on the maximum inter-element spacing (IES) constraint (MISC) criterion. Compared with the traditional MISC array, the proposed SA configurations, termed as improved MISC (IMISC) has significantly increased uniform degrees of freedom (uDOF) and reduced mutual coupling. In particular, the IMISC arrays are composed of six uniform linear arrays (ULAs), which can be determined by an IES set. The IES set is constrained by two parameters, namely the maximum IES and the number of sensors. The uDOF of the IMISC arrays is derived and the weight function of the IMISC arrays is analyzed as well. The proposed IMISC arrays have a great advantage in terms of uDOF against the existing SAs, while their mutual coupling remains at a low level. Simulations are carried out to demonstrate the advantages of the IMISC arrays.
Keyword:
Couplings
Sensor arrays
Mutual coupling
Covariance matrices
Signal to noise ratio
Floors
Fitting
Uniform degrees of freedom
sparse array (SA)
mutual coupling
maximum inter-element spacing constraint
direction-of-arrival (DOA) estimation

期刊

IEEE Signal Processing Magazine 封面图
IEEE Signal Processing Magazine
IF:
9.6
论文数:
1.1W
被引数:
1.7W

机构

H
Harbin Engineering University
学者数:
1.9W
论文数: 1.3W
被引数: 1.3W
U
university of york - uk
学者数:
1.5W
论文数: 1.5W
被引数: 15
A
anhui university
学者数:
1.9W
论文数: 1.2W
被引数: 24
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