基于免疫克隆选择算法的天线方向图综合技术研究

Pattern Synthesis Based on Immune Clone Selection Algorithm

方向图综合技术是智能天线中的一项重要技术。由于采用遗传算法存在着易于早熟和局部寻优能力不足等缺点,为此,文中提出一种基于免疫克隆选择算法的阵列方向图综合技术。仿真结果验证了免疫克隆选择算法相对于标准遗传算法来说更容易找到全局最优解,不易陷入局部极值,且收敛速度快,实际应用表明,基于免疫克隆选择算法的方向图综合技术是切实可行的,且具有很好的推广潜力。

The pattern synthesis is one of the key technologies in smart antennas. For there are some shortcomings such as the premature convergence and bad local optimal searching capability in genetic algorithm （GA）, a novel array pattern synthesis technique is proposed on the basis of Immune Clone Selection Algorithm （ICSA）. Simulation results indicate that, as compared with the Standard GA （SGA）, the ICSA algorithm could get the global optimal solution easily and possesses high convergence speed. The practical application shows that the pattern synthesis technique based on ICSA is feasible and is of very good popularization potentiality.