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Efficient Pencil Beam Synthesis in 4-D Antenna Arrays Using an Iterative Convex Optimization Algorithm

机译:使用迭代凸优化算法的4-D天线阵列中的高效笔形波束合成

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摘要

A novel iterative convex optimization algorithm is proposed for the efficient synthesis of 4-D antenna arrays in this paper. A general nonconvex programming problem in terms of pencil beam synthesis at the center frequency and the suppression of multiple sidebands with different time schemes is first established. In order to decrease the nonconvexity with respect to equivalent excitations, the nonconvex programming problem is then decomposed into a convex optimization problem at the center frequency and a simplified nonconvex optimization problem at sidebands. Based on the optimized results at the center frequency, an iterative convex optimization algorithm that consists in solving a sequence of convex optimization problems is adopted to solve the nonconvex optimization problem efficiently. Because of the introduction of iterative idea and convex optimization, the proposed method achieves a good tradeoff between the optimization time and the optimality of the solution for the synthesis of 4-D antenna arrays of various scales. Numerical examples of uniformly or nonuniformly spaced 4-D antenna arrays are presented to demonstrate the excellent performance of the proposed algorithm in comparison with those of the previously reported methods.
机译:提出了一种新颖的迭代凸优化算法,用于4-D天线阵列的有效合成。首先建立了一个一般的非凸编程问题,该问题涉及中心频率处的笔形波束合成以及具有不同时间方案的多个边带的抑制。为了减少相对于等效激励的非凸性,该非凸规划问题随后被分解为中心频率处的凸优化问题和边带处的简化非凸优化问题。基于中心频率的优化结果,采用迭代凸优化算法,该算法包括求解一系列凸优化问题,以有效地解决非凸优化问题。由于引入了迭代思想和凸优化,所提出的方法在优化时间和各种尺度的4-D天线阵列合成的解决方案的最优性之间取得了良好的折衷。给出了均匀或不均匀间隔的4-D天线阵列的数值示例,以证明与以前报道的方法相比,该算法具有出色的性能。

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