现代电子技术2026，Vol.49Issue(17)：8-12,5.DOI:10.16652/j.issn.1004-373X.2026.17.002
基于蜘蛛蜂优化算法的直线阵列方向图综合
Linear array pattern synthesis based on spider wasp optimizer
摘要
Abstract
Traditional array antenna pattern synthesis methods suffer from slow convergence speed,high computational complexity,and limited capabilities in sidelobe suppression and null formation when dealing with multi-constraint optimization problems.In view of this,the spider wasp optimizer(SWO)is firstly applied to array antenna pattern synthesis problems and two optimization strategies are designed.The one is a single-objective optimization technique aimed at minimizing sidelobe levels,which separately optimizes excitation amplitudes and element positions,as well as their joint optimization.The other is a multi-objective optimization strategy based on weighted objective functions,which aims at achieving low sidelobe levels and deep nulls,and synchronously optimizes excitation amplitude and element position parameters.Numerical simulations verify that the SWO demonstrates fast convergence characteristics and superior pattern performance in solving pattern synthesis problems,providing a new technical approach for pattern synthesis.关键词
蜘蛛蜂优化算法/方向图综合/低副瓣/深零陷/多目标优化/联合优化Key words
SWO/pattern synthesis/low sidelobe/deep null/multi-objective optimization/joint optimization分类
信息技术与安全科学引用本文复制引用
贾淑惠,范旭慧,王安义,李旭虹,崔灿..基于蜘蛛蜂优化算法的直线阵列方向图综合[J].现代电子技术,2026,49(17):8-12,5.基金项目
国家自然科学基金项目(62471384) （62471384）
国家自然科学基金项目(62301414) （62301414）
国家自然科学基金项目(62301415) （62301415）
