电子科技大学学报
電子科技大學學報
전자과기대학학보
JOURNAL OF UNIVERSITY OF ELECTRONIC SCIENCE AND TECHNOLOGY OF CHINA
2012年
1期
43-47
,共5页
天线综合%粒子群算法%罚函数%稀疏阵列
天線綜閤%粒子群算法%罰函數%稀疏陣列
천선종합%입자군산법%벌함수%희소진렬
array pattern synthesis%particle swarm optimization%penalty function%thinned arrays
首次将模糊离散粒子群算法应用到稀疏阵列天线阵元位置优化上,以得到低的副瓣电平.与遗传算法等进化算法相比,模糊离散粒子群算法有参数少、易于执行的优点.为了尽量避免算法陷入局部最优,在优化中引入了混沌过程；同时用罚函数方法进行了主瓣约束.对于线性阵列的仿真结果表明,该方法能很好地处理离散问题.
首次將模糊離散粒子群算法應用到稀疏陣列天線陣元位置優化上,以得到低的副瓣電平.與遺傳算法等進化算法相比,模糊離散粒子群算法有參數少、易于執行的優點.為瞭儘量避免算法陷入跼部最優,在優化中引入瞭混沌過程；同時用罰函數方法進行瞭主瓣約束.對于線性陣列的倣真結果錶明,該方法能很好地處理離散問題.
수차장모호리산입자군산법응용도희소진렬천선진원위치우화상,이득도저적부판전평.여유전산법등진화산법상비,모호리산입자군산법유삼수소、역우집행적우점.위료진량피면산법함입국부최우,재우화중인입료혼돈과정；동시용벌함수방법진행료주판약속.대우선성진렬적방진결과표명,해방법능흔호지처리리산문제.
Aiming to obtain a low sidelobe of an array,fuzzy discrete particle swarm optimization (FDPSO)algorithm is firstly applied in the optimization of the element positions of thinned antenna arrays.Compared with some evolutionary algorithms such as genetic algorithm,the FDPSO has the advantages of less parameters and easier to be implemented.In order to avoid the algorithm being trapped into local optimum,a chaotic dynamic procedure is introduced in the optimization.A penalty approach is used in the constraint of the width of mainlobe.Simulation results of a linear array show that the algorithm can handle discrete problem properly.
