| 基于GA和PSO算法的反射阵列仿真设计 |
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| 引用本文： | 李橙,王新伟,许家栋. 基于GA和PSO算法的反射阵列仿真设计[J]. 现代电子技术, 2011, 34(11): 47-50 |
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| 作者姓名： | 李橙 王新伟 许家栋 |
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| 作者单位： | 西北工业大学电子信息学院,陕西西安,710129 |
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| 摘 要： | 遗传算法（GA）和粒子群算法（PSO）都属于进化算法,用于优化计算时,可以帮助寻找问题的最优解。将遗传算法和粒子群算法应用到反射阵列设计中,大大缩减了设计周期并提高了反射阵列性能。按照该方法设计出的极子阵列在10 GHz的高频下仍能保持大角度的RCS在-20 dB以上,并可以根据实际要求进行灵活调整,加工实物后进行实测,实测结果和仿真结果具有很好的一致性。
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| 关 键 词： | 回波增强器 极子阵列 遗传算法 粒子群算法 |
Reflectarray Design Based on Genetic Algorithm and Partical Swarm Optimization |
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| LI Cheng,WANG Xin-wei,XU Jia-dong. Reflectarray Design Based on Genetic Algorithm and Partical Swarm Optimization[J]. Modern Electronic Technique, 2011, 34(11): 47-50 |
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| Authors: | LI Cheng WANG Xin-wei XU Jia-dong |
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| Affiliation: | LI Cheng,WANG Xin-wei,XU Jia-dong(School of Electronics and Information,Northwestern Polytechnical University,Xi'an 710129,China) |
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| Abstract: | Genetic algorithm(GA) and partical swarm optimization(PSO) both belong to evolutionary algorithm,which can help to find the optimum solution.GA and PSO are applied to the design of reflectarray to cut the design period and improve its performance greatly.The reflectarray designed by this way can still keep a big angle RCS,which is above-20 dB at 10 GHz,and can be adjusted flexiably according to the actual requirement.The simulation and measured results is much the same. |
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| Keywords: | echo enhancer dipole reflectarray GA PSO |
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