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机构地区:[1]集美大学信息工程学院,厦门361021 [2]中国石油天然气股份有限公司大庆油田有限责任公司,大庆163000 [3]哈尔滨工程大学信息与通信工程学院,哈尔滨150001
出 处:《系统仿真学报》2014年第7期1477-1481,1491,共6页Journal of System Simulation
基 金:福建省教育厅项目(JA13183);福建省科学技术厅重点项目(2013H0035);黑龙江省自然科学基金重点项目(ZD201115)
摘 要:根据场景的不同,阵列天线阵列形式灵活多样,传统的切比雪夫综合法受到算法的限制已无法适应所有的阵列形式。文化算法是一种新颖的进化算法,具有全局多变量寻优、收敛速度快等优势,构建了合理的适应性函数,使用文化算法架构多变量数值迭代算法综合出超低副瓣方向图的阵列单元加权矩阵。通过matlab软件的运算与仿真,对比了不同阵列形式下多种方法的综合结果,验证了文化算法对超低副瓣方向图综合的有效,体现了其综合结果的性能优势,而其在算法的通用性方面可弥补切比雪夫综合法不能有效求解的不足,有着更为广泛的应用范围。The array form of the antenna is different due to the scenario applied. The traditional Chebyshev synthesis is limited by the algorithm and therefore not suitable for all antenna forms. The cultural algorithm is a novel evolution algorithm with the advantages of global variable optimization and fast convergence. A suitable adaptability function was built so that the array unit weighing matrix of ultra-low sidelobe pattern was synthesized using multi-variable numerical iterative algorithm based on the cultural algorithm frame. Computer simulation was performed using Matlab. The synthesis results under different array forms were evaluated and, based on the results, it was approved that the cultural algorithm is effective on the synthesis of the ultra-low sidelobe pattern. The cultural algorithm is also more practical and universal comparing to the Chebyshev synthesis method and it is capable of solving pattern synthesis problems that cannot be solved by Chebyshev synthesis. Therefore, the proposed algorithm has a wider range of application area.
分 类 号:TN823.24[电子电信—信息与通信工程]
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