随机馈相条件下相控阵天线波瓣性能的遗传优化  

Genetic Optimization on Lobe Performance of Phased Array Antenna in Condition of Random Phasing

作　　者：李秋生[1,2] 刘小燕[1] 黄隆胜[1] 

机构地区：[1]赣南师范学院物理与电子信息学院,江西赣州341000 [2]深圳大学ATR国防科技重点实验室,广东深圳518060

出　　处：《赣南师范学院学报》2010年第6期33-36,共4页Journal of Gannan Teachers' College(Social Science(2))

基　　金：赣南师范学院自然科学研究基金资助项目（09KYZ07）

摘　　要：针对随机馈相条件下相控阵天线波瓣性能的优化问题,提出了一种基于多目标遗传算法的随机馈相方案优化方法.文中以泰勒幅度加权的线阵为例对随机馈相的数学模型进行了分析,并在此基础上,对提出的遗传优化算法进行了计算机仿真实验.仿真分析表明,优化后的天线方向图峰值副瓣电平和波瓣指向精度两个性能指标均得到了显著改善,算法具有良好的收敛性能,采用该算法对随机馈相方案进行优化设计,可以有效提高设计的效率和质量,因而值得在实际应用中加以推广.To resolve the optimization problem of phased array antenna in condition of random phasing,an optimization method for random phasing schemes based on multiobjective genetic algorithm is put forward.The paper takes an amplitude-Taylor-weighted linear array as the example,and performs this algorithm＇s computer simulation experiment on basis of analyzing the mathematical model of the random phasing.The simulation results show,through optimization,both the peak value of the side lobe levels of the antenna pattern and its lobe direction accuracy have been distinctly improved,and the algorithm offers a nicer convergent performance in the process of the simulation.Furthermore,in the optimization design of the random phasing schemes,the algorithm can effectively improve the efficiency and the quality of the design,so as to deserve generalization in practical application.

关 键 词：相控阵天线 随机馈相 波瓣性能 多目标遗传算法 

分 类 号：TN821.8[电子电信—信息与通信工程]