摘要
提出了一种对非均匀稀布阵列阵元间距进行优化的改进的遗传算法。该算法在编码时,将阵元间距依据尺寸步长划分为不同的节点,通过对节点的二进制编码,灵活实现带约束阵元间距的遗传编码。在遗传操作过程中,依据不同的进化阶段自适应设定算子系数,有效地提高了遗传算法的收敛性。文中采用同时考虑副瓣电平和波束宽度的双适应度函数,使优化得到的天线阵列方向图比采用单适应度函数有较好的综合性能。最后通过大量仿真结果验证了这一算法的有效性。
A modified genetic algorithm is presented to optimize the element spacing of the nonuniform sparse array in this paper. In the algorithm, the element spacing with restriction is divided into different nodes according to the step, after that the nodes are encoded into hinary codes. The faster convergence can be obtained by adaptively modifying the operator coefficients in different phases. Compared with fitness function, using bi-fitness function considering both sidelobe level and mainlobe width, the better synthetical performance of the array pattern can be obtained. The simulated results demonstrate the feasibility of the algorithm.
出处
《雷达科学与技术》
2009年第6期466-471,共6页
Radar Science and Technology
基金
国家自然科学基金(No.60502045
60736009)
国家自然科学基金项目杰出青年科学基金(No.60825104)
关键词
稀布阵
副瓣电平
波束宽度
遗传算法
sparse array
sidelobe level
mainlobe width
genetic algorithm
