基于精英群引导下量子粒子群算法的快速零陷形成技术

引入罚函数项,建立了一种新的发射波束方向图综合控零的多目标优化模型。用适应度值排序建立由种群非支配解组成的精英群,以精英群中的粒子作为全局最优解引导粒子飞行;用爬坡策略更新全局最优解,给出了基于精英群引导的量子粒子群算法。对阵列权值采用加权优化,可在发射波束指定方向的多零陷、宽凹口。仿真结果表明：算法对多目标的优化较文献算法更优,能优化阵列权值在指定方向快速形成零陷。

Fast Method for Nulling Based on QPSO under Guide of Super Group

A new multi-objection optimization model based on transmitted beam pattern synthesize was put forward with the help of punish function in this paper. The fitness order was applied to set up super group constituted by un-dominated ones,and the particle cycle was guided by the super group＇s elements.The global best one＇s position was updated based on climbing strategy.The quantum particle swarm optimization algorithm based on the super group＇s guide was set up.The array＇s weighting was optimized by the new algorithm,which was aimed to synthesize null and notch on the transmitted beam.The simulation results showed that the new algorithm was behaved more excellent than usual,which was able to form null in the assigned direction rapidly.