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Pattern Correction in Planar Antenna Array using Multi-Objective Particle Swarm Optimization and Continuous Excitation
Iranian Journal of Science and Technology, Transactions of Electrical Engineering ( IF 1.5 ) Pub Date : 2020-10-01 , DOI: 10.1007/s40998-020-00378-6
Kanhaiya Sharma , Ganga Prasad Pandey

In this paper, multi-objective particle swarm optimization (MOPSO) and continuous excitation distribution in the range of 0 to 2 are used for correction of the failed element in 5 × 5 planar antenna array for ISM band application by substituting role of nonoperational elements to remaining operational elements. It was found that up to 72% element failure at the various position of the array can be effectively recovered for desired sidelobe level and beamwidth first null (FNBW) which is better than earlier reported limit. The outcome excitation values from MOPSO have been verified with simulated results and found that the performance of optimized excitation values is almost matching with the simulated results.

中文翻译:

使用多目标粒子群优化和连续激励的平面天线阵列方向图校正

本文采用多目标粒子群优化 (MOPSO) 和 0 到 2 范围内的连续激励分布,通过替代非操作元件的作用,对 ISM 频段应用的 5 × 5 平面天线阵列中的失效元件进行校正。剩余的操作要素。结果表明,对于所需的旁瓣电平和波束宽度优先零点 (FNBW),阵列不同位置处高达 72% 的元件故障可以有效恢复,这优于早先报告的限制。MOPSO 的结果激励值已经用模拟结果进行了验证,发现优化后的激励值的性能与模拟结果几乎匹配。
更新日期:2020-10-01
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