基于蚁群优化算法的相控阵天线随机馈相方案的优化  

Optimizing of Randomizing Phase Feeding Scheme for Phased Array Antenna Based on Ant Colony Optimization Algorithm

作　　者：李秋生[1,2] 杨雨萱 LI Qiusheng;YANG Yuxuan(Research Center of Intelligent Control Engineering Technology,Gannan Normal University,Ganzhou 341000,Jiangxi,China;School of Physics and Electronic Information,Gannan Normal University,Ganzhou 341000,Jiangxi,China)

机构地区：[1]赣南师范大学智能控制工程技术研究中心,江西赣州341000 [2]赣南师范大学物理与电子信息学院,江西赣州341000

出　　处：《制导与引信》2023年第3期23-28,共6页Guidance & Fuze

基　　金：国家自然科学基金(61561004);江西省教育厅科学技术研究项目(GJJ201408)。

摘　　要：为了降低相控阵天线的峰值副瓣电平,提高相控阵天线的抗干扰性能,以泰勒幅度加权的线阵为例,分析了随机馈相的数学模型,并基于蚁群优化算法提出了针对相控阵天线随机馈相的优化算法,并进行了仿真实验验证。仿真结果表明,采用优化后的随机馈相方案,相控阵天线的峰值副瓣电平相比优化前降低了8 dB以上。此外,所提出的优化算法经过200次左右的迭代即接近于最终的优化结果,具有较好的收敛性能。In order to reduce the peak sidelobe level of phased array antenna and improve the anti-jamming performance of phased array antenna,Taylor amplitude weighted linear array was taken as an example to analyze the mathematical model of randomizing phase feeding,and an optimization algorithm for randomizing phase feeding of phased array antenna was proposed based on ant colony optimization(ACO)algorithm,and simulation experiments were carried out.Simulation results show that the peak sidelobe level of the optimized phased array antenna is reduced by more than 8 dB compared with that before optimization.In addition,the proposed optimization algorithm is close to the final optimization result after about 200 iterations,and has good convergence performance.

关 键 词：相控阵天线 随机馈相 蚁群算法 天线方向图优化 

分 类 号：TN821.8[电子电信—信息与通信工程]