用遗传算法优化任意稀布率的平面阵列  

Using Genetic Algorithm to Optimize Thinned Planar Arrays with Arbitrary Thinned Factor

作　　者：彭祥龙[1] 

机构地区：[1]中国西南电子技术研究所,成都610036

出　　处：《电讯技术》2007年第3期153-158,共6页Telecommunication Engineering

摘　　要：通过给经典遗传算法(GA)的变异算子赋予新的功能,实现了任意稀布率的平面阵或线阵方向图的优化。研究了遗传算法参数和优化结果之间的关系,仿真结果表明,同时考虑峰值副瓣电平和波束宽度才能获得更满意的稀布结果。归纳得出一个平面稀布阵峰值副瓣电平的估计公式,并和随机稀布阵的公式进行了比较,数值结果表明该公式有一定的工程意义。By making the random mutation operator in the classical genetic algorithm （GA） play an additional role, the beam pattern produced by thinned planar or linear arrays with arbitrary thinned factor is optimized. Relationship between optimized results and GA＇ s parameters is explored in detail. Simulation resuits show that in order to get satisfied thinned arrays the peak sidelobe level （PSL） and the beamwidth must be considered together. A formula is concluded for PSL estimation of thinned planar arrays, and the formula is also compared with the one deduced for random sparse arrays. Numeral results indicate that the formula is of engineering significance.

关 键 词：平面稀布阵 遗传算法 任意稀布率 峰值副瓣电平控制 波束宽度 

分 类 号：TN82[电子电信—信息与通信工程]