相控阵天线随机馈相量化误差的微粒群算法优化  

Optimizing Quantization Errors of Random Phasing in Phased Array Antenna Using Swarm Optimization Algorithm

作　　者：徐飞[1] 

机构地区：[1]中国电子科技集团公司第二十研究所,西安710068

出　　处：《现代导航》2011年第3期214-217,共4页Modern Navigation

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。应用微粒群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，实现相控阵波束的精确指向。优化结果表明，微粒群算法能够确定稳定优良的馈相分布。Random phasing is an effective measure for restricting the parasite lobes produced by phased array antenna. On statistically average optimal results, the antenna pattern of random phasing varies with the scanning angle and scanning period, it is difficult to produce the codes required for the control of antenna scan. Swarm Optimization Algorithm is used to restrict the parasite lobes and generate the required beam scanning codes, so as to achieve the precise point. The result showed that Swarm Optimization Algorithm is used to keep steady and optimal phase distribution for the phased array antenna.

关 键 词：相控阵 随机馈相 微粒群算法 量化误差 

分 类 号：TN821.8[电子电信—信息与通信工程]