scholarly journals Spatial smoothing, Nugget effect and infill asymptotics

2008 ◽  
Vol 78 (18) ◽  
pp. 3145-3151 ◽  
Author(s):  
Zudi Lu ◽  
Dag Tjøstheim ◽  
Qiwei Yao
Keyword(s):  
Nugget Effect ◽  
Spatial Smoothing ◽  
Infill Asymptotics

scholarly journals Thermos Array: Two-Dimensional Sparse Array with Reduced Mutual Coupling

2018 ◽  
Vol 2018 ◽  
pp. 1-8 ◽  
Author(s):  
Lei Sun ◽  
Minglei Yang ◽  
Baixiao Chen
Keyword(s):  
Closed Form ◽  
Degrees Of Freedom ◽  
Mutual Coupling ◽  
Doa Estimation ◽  
Two Dimensional ◽  
Spatial Smoothing ◽  
Planar Arrays ◽  
Half Wavelength ◽  
Planar Array ◽  
Small Spacing

Sparse planar arrays, such as the billboard array, the open box array, and the two-dimensional nested array, have drawn lots of interest owing to their ability of two-dimensional angle estimation. Unfortunately, these arrays often suffer from mutual-coupling problems due to the large number of sensor pairs with small spacing d (usually equal to a half wavelength), which will degrade the performance of direction of arrival (DOA) estimation. Recently, the two-dimensional half-open box array and the hourglass array are proposed to reduce the mutual coupling. But both of them still have many sensor pairs with small spacing d, which implies that the reduction of mutual coupling is still limited. In this paper, we propose a new sparse planar array which has fewer number of sensor pairs with small spacing d. It is named as the thermos array because its shape seems like a thermos. Although the resulting difference coarray (DCA) of the thermos array is not hole-free, a large filled rectangular part in the DCA can be facilitated to perform spatial-smoothing-based DOA estimation. Moreover, it enjoys closed-form expressions for the sensor locations and the number of available degrees of freedom. Simulations show that the thermos array can achieve better DOA estimation performance than the hourglass array in the presence of mutual coupling, which indicates that our thermos array is more robust to the mutual-coupling array.

Further results in spatial smoothing

1996 ◽  
Vol 48 (3) ◽  
pp. 217-224 ◽  
Author(s):  
K.Maheswara Reddy ◽  
V.U. Reddy
Keyword(s):  
Spatial Smoothing

Spatial smoothing hurts localization but not information: Pitfalls for brain mappers

NeuroImage ◽  
2010 ◽  
Vol 49 (3) ◽  
pp. 1949-1952 ◽  
Author(s):  
Yukiyasu Kamitani ◽  
Yasuhito Sawahata
Keyword(s):  
Spatial Smoothing
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