基于改进的粒子群算法的二维阵列天线方向图综合技术
doi: 10.3724/SP.J.1146.2005.01375
Pattern Synthesis of 2-D Arrays Based on a Modified Particle Swarm Optimization Algorithm
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摘要: 该文运用一种改进的粒子群优化算法对不等幅激励的矩形平面阵列天线的最大旁瓣电平进行了优化，采用对全局最优粒子微扰和跳变的惯性权重策略，并使用粒子群算法本身对参数组合进行了优化选择。新算法大大改善了优化速度和收敛精度。对二维阵列天线旁瓣电平优化和稀疏阵列方向图综合的良好结果也证明了该方法的有效性。Abstract: A modified Particle Swarm Optimization (PSO) algorithm is proposed and used to optimize the sidelobe level of plane arrays, in which special techniques as global best perturbation and jumped inertia weight strategy are adopted. The PSO algorithm is also used to select a better combination of optimal parameters for itself. So that the convergent speed and accuracy of the algorithm are improved. The simulation results of sidelobe reduction of 2-D arrays and pattern synthesis of a sparse array show that it is effective.
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Haupt L. Thinned arrays using genetic algorithms[J].IEEE Trans. on Antennas and Propagation.1994, 42:993-999[2]Boeringer W and Werner H. Particle swarm optimization versus genetic algorithms for phased array synthesis[J].IEEE Trans. on Antennas and Propagation.2004, 52(3):771-779[3]Kennedy J and Eberhart R C. Particle swarm optimization. Proc. IEEE International Conference on Neural Networks, IEEE Service Center, Perth, Australia. 1995, IV: 1942-1948.[4]Eberhart R C and Kennedy J. A new optimizer using particle swarm theory. Proceeding of Sixth International Symposium on Micro Machine and Human Science, Nagoya, Japan. 1995: 39-43.[5]Shi Y and Eberhart R C. A modified particle swarm optimizer. Proceeding of the IEEE Congress on Evolutionary Computation (CEC 1998), Piscataway, NJ. 1998: 69-73.[6]Eberhart R C and Shi Y. Comparing inertia weights and constriction factors in particle swarm optimization. Proceeding of IEEE Congress on Evolutionary Computation (CEC2000), San Diego, CA. 2000: 48-88.[7]Carlisle A and Dozier G. An off-the-shelf PSO. Proceedings of the 2001 Workshop on Particle Swarm Optimization, Indianapolis, IN. 2001: 1-6.[8]汪茂光, 吕善伟, 刘瑞祥. 阵列天线分析与综合. 成都: 电子科技大学出版社, 1989, 第4章. -
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