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相控阵天线随机馈相量化误差的遗传算法优化 被引量:6

Optimizing Quantization Errors of Random Phasing in Phased Array Antenna by Genetic Algorithm
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摘要 随机馈相能够有效抑制相控阵天线产生的较高寄生副瓣电平,但作为一种统计意义上的平均最优,随机馈相方案产生的天线特征在不同扫描方向不同扫描周期是不稳定的,不便于实际控制相控阵波束扫描。应用遗传算法对随机馈相方案进行优化,能有效抑制寄生副瓣的出现,形成扫描空域确定的波控代码,实现相控阵波束无惯性的精确指向。优化结果表明,遗传优化能够确定稳定优良的馈相分布。 Random phasing is an effective measure for restricting the parasite lobes of phased array antenna employing digital phase shifter. However, the optimal results being a statistical average~ the antenna pattern of random phasing is unsteady with the scanning angle and scanning period , so it is not easy to form the actually needed codes for control of the antenna scanning. In this paper, to restrict the parasite lobes and to form the beam scanning codes the Genetic Algorithm( GA) is applied to optimize the random phase distribution, and results reveal that GA can obtain steady and optimal phase distribution for the phased array antenna.
出处 《现代雷达》 CSCD 北大核心 2006年第9期74-76,87,共4页 Modern Radar
关键词 相控阵 随机馈相 寄生副瓣 遗传算法 phased array random phasing parasite lobes genetic algorithm ( GA )
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参考文献6

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