增加副瓣抑制机制的阵列天线波束赋形遗传算法研究

发布时间：2018-07-03 12:17

本文选题：阵列天线 + 遗传算法　；参考：《电子与信息学报》2017年03期

【摘要】：基于遗传算法的激励优化算法是求解阵列天线波束赋形问题时常用的激励求解算法。传统遗传算法在优化阵列天线激励时,对阵元天线方向图矢量叠加获得阵列天线合成方向图后,与目标方向图做相似度判断,经过多次运算获得满足设计要求的激励值。然而算法中通常不关注赋形结果的副瓣抑制,导致阵列天线波束赋形结果副瓣抑制效果不理想。该文提出一种基于一组低副瓣波束线性叠加的波束合成机制,将合成方向图与目标方向图做相似对比,结合遗传算法的优化求解方法,最终获得与目标方向图匹配的合成方向图,且合成方向图具有高副瓣抑制的特性。以一款16阵元X波段微带偶极子线性阵列天线为例,该文提出的具有副瓣抑制机制的遗传算法求得的赋形波束获得了-27.5 dBc的副瓣抑制效果,远远好于传统遗传算法求得的赋形波束-19 dBc的副瓣抑制。
[Abstract]:The excitation optimization algorithm based on genetic algorithm is commonly used to solve the array antenna beamforming problem. When the array antenna excitation is optimized by the traditional genetic algorithm, the composite pattern of the array antenna is obtained after the array antenna pattern vector is superimposed, and the similarity between the array antenna pattern and the target pattern is judged, and the excitation value satisfying the design requirements is obtained after many operations. However, the sidelobe suppression of the shape result is usually not paid attention to in the algorithm, which leads to the unsatisfactory sidelobe suppression effect of the beamforming result of the array antenna. In this paper, a beam synthesis mechanism based on a set of low sidelobe beam linear superposition is proposed. The synthetic pattern is compared with the target pattern, and the genetic algorithm is used to solve the problem. Finally, the synthetic pattern matching the target pattern is obtained, and the synthetic pattern has the characteristic of high sidelobe suppression. Taking an X-band microstrip dipole linear array antenna with 16 array elements as an example, the shape beam obtained by genetic algorithm with sidelobe suppression mechanism is used to obtain the sidelobe suppression effect of -27.5 DBC. It is much better than the sidelobe suppression of shaped beam-19 DBC obtained by traditional genetic algorithm.
【作者单位】：中国科学院微电子研究所;北京邮电大学电子工程学院;
【分类号】：TN820;TP18

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