欢迎您！东篱公司
退出
-
申报数据库
-
立项数据库
-
成果数据库
-
项目获奖数据库
中文摘要：
提出把混合优化算法IGA-EDSPSO（Improved Genetic Algorithm-Extremum Disturbed Simple Particle Swarm Optimization）和基于RWG基函数的MoM-PO混合算法用于最小阵元间距约束的稀布阵列设计中。通过调整阵元间距来优化辐射阵因子,改善了阵列天线的辐射性能。与以前的方法相比,该方法在处理大型阵列时,降低了对计算机资源的需求,有效地实现了考虑互耦情况下副瓣电平的抑制,真实地考虑了天线的整个结构对于方向图的影响,对低副瓣电平阵列天线的设计有一定的指导意义和参考价值。
英文摘要：
A hybrid method,IGA-EDSPSO（Improved Genetic Algorithm-Extremum Disturbed Simple Particle Swarm Optimization） hybrid optimization algorithm combined with MoM-PO method is applied to the design of the sparse arrays with the minimum element spacing constraint.This method can improve radiation characteristic of the array antenna by optimizing array radiation factor.Compared with previous methods,dealing with large-scale arrays,the proposed method has faster convergence velocity and effectively realizes the suppression of the peak sidelobe level（PSLL） with the mutual coupling.The result is closer to reality and very useful for low PSLL array antenna designing.
同期刊论文项目
同项目期刊论文
Fast and Accurate Radar Cross Section Computation Using Chebyshev Approximation in Both Broad Freque
A hybrid Genetic-algorithm Space-mapping Method for the Optimization of Broadband Aperture-coupled A
位置：