Improved Differential Evolution Strategy for Antenna Array Pattern Synthesis Problems
Improved Differential Evolution Strategy for Antenna Array Pattern Synthesis Problems
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DOI：
10.2528/pier11011814
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发表时间：
2011
影响因子：
6.7
通讯作者：
Rui Li;Le Xu;Xiao-wei Shi;N. Zhang;Z. Lv
中科院分区：
文献类型：
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作者：
Rui Li;Le Xu;Xiao-wei Shi;N. Zhang;Z. Lv
提出了一种求解优化问题的改进差分进化算法。通过引入次优个体的变异操作，在不增加早熟风险的前提下，加快了差分进化算法的收敛速度。利用DE算法和IDE算法对5个典型的测试函数进行了极小化，结果表明IDE算法具有上级性能。最后将该算法应用于两个天线阵的方向图综合。在线阵辐射方向图中形成宽零陷以抑制宽带干扰。在微带贴片阵中，天线副瓣电平下降约12.9dB，主瓣可以扫描到所需的角度。
An Improved Difierential Evolution (IDE) algorithm is proposed for optimization problems. With the novel mutant operation adopting sub-optimal individual, the convergence of Difierential Evolution (DE) algorithm is accelerated without increasing the risk of premature. Five typical test functions are minimized using DE and IDE algorithms, and the results show the superior performance of IDE algorithm. Furthermore, the algorithm is applied to pattern synthesis of two antenna arrays. Broad nulls are formed in radiation pattern of a linear array to suppress broad-band interferences. In a microstrip patch array, the sidelobe level of array is decreased about 12.9dB and the mainlobe can scan to the desired angle.