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Performance of Beamwidth Constrained Linear Array Synthesis Techniques Using Novel Evolutionary Computing Tools

机译:使用新型进化计算工具的束宽受限线性阵列合成技术的性能

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Antenna array synthesis for desired radiation characteristics is a challenging field of research in electromagnetics. When an array synthesis problem is visualized as an optimization problem several design parameters involved in synthesis process are considered as degrees of freedom. Every combination of design parameters forms a synthesis technique. In this paper, certain emphasis is given to analyse the techniques of linear array (LA) design using evolutionary computing tools. Novel computing tools like Flower Pollination Algorithm is used for LA synthesis using different degrees of freedom and compared with a conventional Tchebycheff method. Accelerated Particle Swarm Optimization (APSO) is also employed to study the consistency of the technique with the employed computing tool. Radiation patterns are generated with optimized SLL and Tchebycheff beamwidth constraint.
机译:用于期望的辐射特性的天线阵列合成是电磁学研究中的一个充满挑战的领域。当将阵列综合问题可视化为优化问题时,综合过程中涉及的几个设计参数将被视为自由度。设计参数的每种组合都构成一种综合技术。在本文中,对使用进化计算工具分析线性阵列(LA)设计技术给予了一定的重视。诸如“花粉传粉算法”之类的新型计算工具可用于使用不同自由度的LA合成,并与传统的Tchebycheff方法进行了比较。加速粒子群优化(APSO)也用于研究该技术与所采用的计算工具的一致性。在优化的SLL和Tchebycheff束宽约束条件下生成辐射图。

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