Synthetic spatial spectrum DOA estimator for two closely spaced emitters

2008 ◽  
Author(s):  
You Hong ◽  
Huang Jianguo ◽  
Chen Jianfeng
Keyword(s):  
Spatial Spectrum

Modulation of spatial spectrum in tunable two crystal optical parametric generator

2007 ◽  
Vol 280 (2) ◽  
pp. 463-467 ◽  
Author(s):  
S. Ališauskas ◽  
R. Butkus ◽  
A. Piskarskas ◽  
K. Regelskis ◽  
V. Smilgevičius
Keyword(s):  
Spatial Spectrum ◽  
Optical Parametric ◽  
Parametric Generator

scholarly journals Magnified Image Spatial Spectrum (MISS) microscopy for nanometer and millisecond scale label-free imaging

2018 ◽  
Vol 26 (5) ◽  
pp. 5423 ◽  
Author(s):  
Hassaan Majeed ◽  
Lihong Ma ◽  
Young Jae Lee ◽  
Mikhail Kandel ◽  
Eunjung Min ◽  
...  
Keyword(s):  
Spatial Spectrum ◽  
Label Free

scholarly journals DOA Estimation for Coprime Linear Array Based on MI-ESPRIT and Lookup Table

Sensors ◽  
2018 ◽  
Vol 18 (9) ◽  
pp. 3043 ◽  
Author(s):  
Weike Zhang ◽  
Xi Chen ◽  
Kaibo Cui ◽  
Tao Xie ◽  
Naichang Yuan
Keyword(s):  
Linear Array ◽  
Estimation Algorithm ◽  
Doa Estimation ◽  
Spatial Spectrum ◽  
Angle Measurement ◽  
Lookup Table ◽  
Signal Parameters ◽  
Estimation Precision ◽  
Simulation Results ◽  
The Relationship

In order to improve the angle measurement performance of a coprime linear array, this paper proposes a novel direction-of-arrival (DOA) estimation algorithm for a coprime linear array based on the multiple invariance estimation of signal parameters via rotational invariance techniques (MI-ESPRIT) and a lookup table method. The proposed algorithm does not require a spatial spectrum search and uses a lookup table to solve ambiguity, which reduces the computational complexity. To fully use the subarray elements, the DOA estimation precision is higher compared with existing algorithms. Moreover, the algorithm avoids the matching error when multiple signals exist by using the relationship between the signal subspace of two subarrays. Simulation results verify the effectiveness of the proposed algorithm.

scholarly journals Toward understanding the multiscale spatial spectrum of solar convection

2012 ◽  
Vol 8 (S294) ◽  
pp. 361-363
Author(s):  
A. V. Getling ◽  
O. S. Mazhorova ◽  
O. V. Shcheritsa
Keyword(s):  
Convective Instability ◽  
Convective Flow ◽  
Large Scale ◽  
Fluid Layer ◽  
Boussinesq Equations ◽  
Spatial Spectrum ◽  
Small Scale ◽  
Two Dimensional ◽  
Solar Convection

AbstractConvection is simulated numerically based on two-dimensional Boussinesq equations for a fluid layer with a specially chosen stratification such that the convective instability is much stronger in a thin subsurface sublayer than in the remaining part of the layer. The developing convective flow has a small-scale component superposed onto a basic large-scale roll flow.

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