the non-grid sparse array technique is a promising approach to overcome the connection difficulties of 2D matrix arrays and to partially compensate the energy loss linked to the element number reduction. Being indepen...
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ISBN:
(纸本)9781479970490
the non-grid sparse array technique is a promising approach to overcome the connection difficulties of 2D matrix arrays and to partially compensate the energy loss linked to the element number reduction. Being independent from the spatial sampling conditions, this method leads to a significant improvement of the beam pattern when combined to the simulated annealing algorithm. However, in the previous version of this method [1], the position of the elements cannot be changed during the optimization. In order to add a further degree of freedom and thus to improve the optimization performance, we propose a new strategy in which both element position and apodization can be modified. This new approach improves the sensitivity thanks to a better distribution of the elements on the array footprint.
the sparsearray technique is an excellent approach to tackle the connection difficulties due to the huge number of elements of 2D matrix arrays. However, the reduction of the element number leads to significant perfo...
详细信息
ISBN:
(纸本)9781467356862
the sparsearray technique is an excellent approach to tackle the connection difficulties due to the huge number of elements of 2D matrix arrays. However, the reduction of the element number leads to significant performance reduction, especially in terms of energy loss. An efficient alternative to increase the array sensitivity is using elements wider than lambda/2 while non-grid positioning strategies are adopted. To further decrease the unwanted lobes of the array beam, the variable-size elements array is proposed. This new configuration, combining the randomness of elements position and of their size, leads to excellent beam patterns. In addition, the main lobe width can be controlled to change the array spatial resolution.
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