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Application of evolutionary optimization techniques for finding the optimal set of concentric circular antenna array

机译:进化优化技术在寻找同心圆天线阵列最优集合中的应用

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摘要

In this paper the maximum sidelobe level (SLL) reductions, optimal beam patterns and optimal beam widths of various designs of three-ring planar concentric circular antenna arrays (PCCAA) are examined using three different classes of evolutionary optimization techniques to finally determine the global optimal three-ring PCCAA design and then establish some sort of ranking among the techniques. Apart from physical construction of a PCCAA, one may broadly classify its design into two major categories: uniformly excited arrays and non-uniformly excited arrays. The present paper assumes non-uniform excitations and uniform spacing of excitation elements in each three-ring PCCAA design and a design goal of maximizing SLL reduction associated with optimal beam patterns and beam widths. The design problem is modeled as an optimization problem for each PCCAA design and solved using different evolutionary optimization techniques to determine an optimum set of normalized excitation weights for PCCAA elements, which, when incorporated, results in a radiation pattern with optimal (maximum) SLL reduction. Among the various PCCAA designs, one which yields the global minimum SLL with global minimum first null beamwidth is the global optimal design. In this work the three-ring PCCAA containing (N_1 = 4, N_2 = 6, N_3 = 8) elements proves to be such global optimal design. The optimization techniques employed are real coded GA (RGA), canonical PSO (CPSO), craziness based PSO (CRPSO), evolutionary programming (BEP), hybrid evolutionary programming (HEP). While ranking the techniques after 30 total runs for each design, HEP, CRPSO, RGA, CPSO, BGA hold the first five ranks in order of optimization capability. HEP yields global minimum SLL (-32.86 dB) and global minimum BWFN (77.0°) for the optimal design. BEP often changes the rank from second to fifth depending on the design set. Further, when compared to a uniformly excited PCCAA having equal number of elements and same radii a reduction of major lobe beamwidth is also observed in the optimal non-uniformly excited case.
机译:本文使用三种不同的进化优化技术研究了三环平面同心圆天线阵列(PCCAA)各种设计的最大旁瓣电平(SLL)减小,最优波束方向图和最优波束宽度,最终确定了全局最优三环PCCAA设计,然后在这些技术之间建立某种等级。除了PCCAA的物理结构外,可以将PCCAA的设计大致分为两大类:均匀激发阵列和非均匀激发阵列。本文假设在每个三环PCCAA设计中激发元件的激发不均匀并且激发元件的间距均匀,并且设计目标是最大化与最佳光束模式和光束宽度相关的SLL减小。将设计问题建模为每种PCCAA设计的优化问题,并使用不同的进化优化技术来解决,以确定PCCAA元素的最佳归一化激励权重的最佳集合,将其合并后可产生具有最佳(最大)SLL降低的辐射图。在各种PCCAA设计中,产生全局最小SLL和全局最小第一空波束宽度的设计是全局最佳设计。在这项工作中,包含(N_1 = 4,N_2 = 6,N_3 = 8)个元素的三环PCCAA被证明是这种全局最优设计。所采用的优化技术是实码GA(RGA),规范PSO(CPSO),基于疯狂的PSO(CRPSO),进化规划(BEP),混合进化规划(HEP)。在对每种设计进行30次总运行后对技术进行排名时,HEP,CRPSO,RGA,CPSO,BGA在优化能力方面排名前五。对于最佳设计,HEP产生全局最小SLL(-32.86 dB)和全局最小BWFN(77.0°)。 BEP经常将排名从第二位更改为第五位,具体取决于设计集。此外,当与具有相同数量的元素和相同半径的均匀激发的PCCAA相比较时,在最佳非均匀激发的情况下,还可以观察到主瓣波束宽度的减小。

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