三次型权值粒子群算法用于共形阵列宽零陷综合

Pattern synthesis of conformal arrays with cube weight of particle swarm optimization algorithm

  • 摘要: 本文提出了一种改进的粒子群算法,并用于圆柱阵宽零陷综合的幅度对称优化。采用周期性三次型惯性权值变化策略,同时对适应度值进行实时监测判定并对粒子重新赋值,明显改善了原有算法的收敛速度,有效避免了算法收敛于局部最优。仿真实验表明,对给定条件下的有向圆柱阵列,能够实现含多个宽零陷的方向图,且迭代次数明显降低,证明了该算法的正确性和有效性。

     

    Abstract: A modified particle swarm optimization algorithm is proposed and used to implement the element amplitude symmetry optimization with respect to the pattern synthesis of wide null of cylindrical array. The method uses cubic cyclical inertia weight change strategy, and reassigns the value of the particle through monitoring the value of fitness in real time. Thus it greatly improves the speed of convergence and effectively avoids converging to the local optimum. Simulation results show that the pattern of cylindrical array can achieve multiple wide null under the given condition and the number of iterations is decreased obviously, which proves the correctness and validity of the proposed algorithm.

     

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