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A Compressive-Sensing Inspired Alternate Projection Algorithm for Sparse Array Synthesis

机译:稀疏阵列合成的压缩感知启发式交替投影算法

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摘要

In this paper, we propose a simple approach for sparse array synthesis. We employ a modified generalized alternate projection algorithm using ? 1 -norm constrained minimization in order to achieve the excitation and the position of the elements of a sparse array. The proposed approach is very flexible, since it deals with power pattern masks and allows the inclusion of the effects of element pattern and mutual coupling. Its implementation is relatively simple, thanks to the possibility to use well-known convex programming techniques. The presented method is particularly suitable for the synthesis of patterns commonly employed in radar systems; the numerical results provided show good performances with respect to concurrent methods available in open literature.
机译:在本文中,我们提出了一种稀疏阵列合成的简单方法。我们采用?的改进广义替代投影算法。 1-范数约束最小化以实现激励和稀疏阵列元素的位置。所提出的方法非常灵活,因为它处理功率图案掩模并允许包含元件图案和相互耦合的影响。由于可以使用众所周知的凸编程技术,因此其实现相对简单。提出的方法特别适合于雷达系统中常用的模式合成。相对于公开文献中提供的并行方法,提供的数值结果显示出良好的性能。

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