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Intelligent z-plane boundary condition-particle swarm optimiser for small array pattern synthesis

机译:用于小阵列模式合成的智能z平面边界条件粒子群优化器

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摘要

This study concerns the radiation performance improvement of small periodic linear phased arrays in the presence of mutual coupling. An approach using a particle swarm optimiser (PSO) coupled with Schelkunoff??s z-plane unit circle is proposed, with z-plane zeros constrained using adaptive boundary conditions (termed the intelligent z-plane boundary condition-PSO). It is shown that the proposed optimisation scheme has successfully achieved the target results for a range of problems presented including low-sidelobe scanned beam, and sector-beam pattern synthesis. The approach has consistent and faster convergence when compared with competitive techniques. Results showing significant improvement are presented using a Bowtie dielectric resonator antenna and uniform hemispherical elements.
机译:这项研究涉及在存在互耦合的情况下小型周期性线性相控阵辐射性能的改善。提出了一种使用粒子群优化器(PSO)结合Schelkunoff的z平面单位圆的方法,其中z平面零点受自适应边界条件(称为智能z平面边界条件PSO)约束。结果表明,所提出的优化方案已成功实现了针对一系列问题的目标结果,包括低旁瓣扫描光束和扇形光束图案合成。与竞争技术相比,该方法具有一致且更快的收敛性。使用Bowtie电介质谐振器天线和均匀的半球形元件可以显示出显着改善的结果。

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