| 摘要: |
| 天线低副瓣性能是相控阵雷达系统的一项重要指标。在高集成度的相控阵雷达系统中，受到空间尺寸的限制，天线阵面会进行切角处理。由于切角的存在，传统泰勒综合法幅度加权得到的远场方向图指标难以达到预期效果。本文对切角阵天线单元计分排序并选取部分单元幅度进行优化，减少了幅度分布优化变量，在约束天线增益的前提下对切角阵幅度分布进行遗传算法优化。暗室实测结果表明，与泰勒幅度加权相比，增益相同情况下阵列天线峰值副瓣电平降低3dB。 |
| 关键词: 切角阵 幅度加权 副瓣电平 遗传算法 |
| DOI：DOI:10.3969/j.issn.1672-2337.2021.06.014 |
| 分类号:TN821+.8；TN958.92 |
| 基金项目: |
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| Optimization of Sidelobe Level Based on Genetic Algorithm for Angle-Cut Array |
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SONG Hao，ZHAN Zhenxian，XU Tanghong，HU Shuaishuai
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The 38th Research Institute of China Electronics Technology Group Corporation, Hefei 230088, China
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| Abstract: |
| The low sidelobe performance of antenna is an important index of a phased array radar system. In the highly integrated phased array radar system, the angles of the antenna array will be cut because of the size limitation. The traditional magnitude weighting based on Taylor synthesis is difficult to meet the expected effect because of the cut angles. In this paper, the antenna elements are sorted by scores and selected partly for optimization. The amplitude weighting of the angle-cut array is optimized by genetic algorithm under the constraint of antenna gain. The measurement results show that the peak sidelobe level of the antenna array drops about 3dB compared with Taylor syntheses. |
| Key words: angle-cut array amplitude weighting sidelobe level genetic algorithm |
