基才一种QPSO算法的阵列天线方向图综合

方向图综合技术是智能天线中的一项关键技术。由于采用普通粒子群算法存在着易于早熟和局部寻优能力不足等缺点．为此本文提出一种基于量子位概率幅编码QPSO算法的阵列天线方向图综合技术，即在方向图综合中，QPSO算法采用量子位对粒子当前位置进行编码，用量子旋转门实现对粒子最优位置的搜索，用量子非门实现粒子位置的变异以避免早熟。实际应用表明基于量子位概率福编码QPSO的方向图综合技术是切实可行的，在多零点和低旁瓣约束情况下均可以取得良好的优化效果，具有很好的推广能力。

Pattern synthesis of array antennas with one quantum particle swarm optimization algorithm

Pattern synthesis is a key technology in smart antennas. As a result of some short comings, such as the premature convergence and bad local optimal searching capability in traditional intelligence methods for pattern synthesis, a novel array antenna pattern synthesis technique is proposed based on quantum particle swarm optimization （QPSO） with probability amplitude coding of quantum bits. In this method, the positions of particles are encoded by quantum bits and the movements of particles are performed by quantum rotation gates, which achieve particles＇ optimal location. The mutations of particles are performed by quantum non-gate to avoid premature. The typical application shows the novel way for pattern synthesis with multi-null and low sidelobe restrictions is feasible with high precision, fast running speed, good stability and has very good generalization capability.