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Conformal Array Pattern Synthesis and Activated Elements Selection Strategy Based on PSOGSA Algorithm

机译:基于PSOGSA算法的共形阵列模式综合与活性元素选择策略。

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The pattern synthesis and activated element selection for conformal array is investigated based on hybrid particle swarm optimization-gravitational search algorithm (PSOGSA) in this paper. With the introduction of PSOGSA algorithm which is a novel hybrid optimization technique, the element excitations are optimized to obtain the desired pattern for conformal array in the case of considering uncoupled and coupled element pattern. Numerical simulation and full-wave electromagnetic calculation verify the advantage and efficiency of our method. Then, a novel strategy of activated element selection based on PSOGSA algorithm is proposed for saving the energy consumption in conformal array.
机译:本文基于混合粒子群优化-引力搜索算法(PSOGSA),研究了共形阵列的模式合成和激活元件选择问题。通过引入PSOGSA算法(一种新颖的混合优化技术),在考虑非耦合和耦合元素图案的情况下,优化了元素激励以获得共形阵列的所需图案。数值模拟和全波电磁计算证明了我们方法的优点和效率。然后,提出了一种新的基于PSOGSA算法的激活元素选择策略,以节省保形阵列的能耗。

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