An Efficient and Universal Static and Dynamic Convex Optimization for Array Synthesis
An Efficient and Universal Static and Dynamic Convex Optimization for Array Synthesis
复制标题
一种高效通用的数组综合静态和动态凸优化
DOI：
10.1109/lawp.2022.3190421
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发表时间：
2022-10
影响因子：
4.2
通讯作者：
Y. Q. Hei
中科院分区：
文献类型：
--
作者：
C. Z. Feng;W. T. Li;C. Cui;Y. Q. Hei
本文提出了一种新的阵列综合静动态凸优化算法，该算法分为静态和动态逐次优化阶段。在第一阶段，合成方向图被构造为二阶锥规划问题，以便快速获得初始激励。接着，通过将先前获得的结果作为初始激励，实施迭代操作以获得高精度解。此外，为了有效地保证求解过程的连续性和逼近可行解，引入了收缩因子和交叉算子。通过四个不同类型模式的坚韧实例验证了该方法的可行性和有效性。结果表明，与已有的代表性方法相比，该算法具有较高的计算效率和普适性。
In this letter, a novel static-dynamic convex optimization algorithm is proposed for array synthesis, which can be divided into static and dynamic successive optimization stages. At the first stage, the synthetic direction graph is constructed as a second-order cone programming problem so that an initial excitation is quickly obtained. Next, by serving the results obtained previously as the initial excitation, an iterative operation is implemented to obtain a high-precise solution. Moreover, in order to effectively ensure the continuity of the solution process and approach the feasible solution, shrinkage factor and crossover operator are introduced. Four tough examples of synthesizing different kinds of patterns are conducted to validate the feasibility and effectiveness of the proposed method. Results show that compared with the existing representative methods, the proposed algorithm is of high computational efficiency and universality.
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影响因子：
5.7
作者：
Khodier, MM;Christodoulou, CG
通讯作者：
Christodoulou, CG
影响因子：
5.7
作者：
Yan, KK;Lu, YL
通讯作者：
Lu, YL
DOI：
10.1109/aps.1993.385248
发表时间：
1993-06
期刊：
Proceedings of IEEE Antennas and Propagation Society International Symposium
影响因子：
--
作者：
R. Haupt;J. J. Menozzi-J.;C. J. McCormack
通讯作者：
R. Haupt;J. J. Menozzi-J.;C. J. McCormack
影响因子：
5.7
作者：
P. Kajenski
通讯作者：
P. Kajenski
影响因子：
5.7
作者：
K. Tsui;Chan;K. Tsui;S. C. Chan
通讯作者：
K. Tsui;Chan;K. Tsui;S. C. Chan