Spherical-Wave-Based Shaped-Beam Field Synthesis for Planar Arrays Including the Mutual Coupling Effects

2011 ◽  
Vol 59 (8) ◽  
pp. 2872-2881 ◽  
Author(s):  
Juan Corcoles ◽  
Jesús Rubio ◽  
Miguel Á. Gonzalez
Keyword(s):  
Mutual Coupling ◽  
Spherical Wave ◽  
Coupling Effects ◽  
Shaped Beam ◽  
Planar Arrays

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.

scholarly journals An ANN-Based Synthesis Method for Nonuniform Linear Arrays Including Mutual Coupling Effects

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 144015-144026
Author(s):  
Yu Gong ◽  
Shaoqiu Xiao ◽  
Bing-Zhong Wang
Keyword(s):  
Mutual Coupling ◽  
Synthesis Method ◽  
Coupling Effects ◽  
Linear Arrays
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