基于改进遗传算法的相控阵适当随机馈相方法  

Appropriate Random Phasing Technique for Phased Array Antennas Based on Improved Genetic Algorithm

作　　者：周强锋[1] 

机构地区：[1]中国空空导弹研究院,河南洛阳471009

出　　处：《现代雷达》2013年第10期50-53,共4页Modern Radar

摘　　要：基于相控阵天线波束受数字移相器量化相位影响而引起较高寄生副瓣电平,文中提出了一种基于改进遗传算法的相控阵天线适当随机馈相方法。该方法通过融合适当随机馈相技术,减少了随机馈相优化问题的变量维数,有效降低了遗传算法优化时的难度;同时,在遗传优化交叉过程中采用混沌序列产生交叉点的位置,以海明距离度量个体间的差异程度,遵循防止"近亲结合"的个体配对原则,对"近亲"引入新的个体进行替代,改善了遗传算法容易陷入局部最优的缺点,提高了全局搜索能力。仿真结果表明,新方法在抑制相位量化寄生副瓣优于基于传统遗传算法的完全分布式随机馈相优化方法,更有效地降低了天线方向图峰值副瓣电平。To restrict parasite lobes of phased array antenna employing digital phase shifter,an approach is proposed by joint use of appropriate random phasing technique and improved genetic algorithm. The appropriate random phasing technique can reduce the amount of array elements for optimization problems of phase quantization. In order to overcome the classical genetic algorithm relapsing into local extremum,the difference between two individuals is measured by Hamming-range in the crossover operation. When the difference is small,one of the individuals will be replaced by a new random individual before crossover. The simulating results show that the proposed method is more efficient than the general genetic algorithm for restricting the parasite lobes of phased array antenna.

关 键 词：相控阵天线 随机馈相 遗传算法 数字移相器 

分 类 号：TN821.8[电子电信—信息与通信工程]