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  1. 西安电子科技大学 天线与微波技术重点实验室,陕西 西安 710071
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2006-10-20 发布日期:2006-10-30

Application of PSO and GA in beamforming of an array antenna

LIU Rui-bin;YAN Ze-hong;SUN Cong-wu;ZHANG Xiao-miao;WEI Wen-yuan   

  1. Key Lab. of Antenna & Microwave Techniques, Xidian Univ., Xi′an 710071, China
  • Received:1900-01-01 Revised:1900-01-01 Online:2006-10-20 Published:2006-10-30

摘要: 将粒子群优化算法和遗传算法应用于阵列天线的波束赋形问题中,用MATLAB编制程序分别对10元直线阵和31元圆环阵进行赋形计算,得到了预期的方向图,得出了这两种优化算法在阵列天线波束赋形问题中的优缺点.在计算圆环阵时尝试引入了修正的波恩斯坦多项式以减少需要优化的变量,并结合工程上的需要,用粒子群优化算法给圆环阵赋行计算得到了主波瓣是平顶的方向图.

关键词: 粒子群优化算法, 遗传算法, 阵列天线, 波束赋形

Abstract: Particle Swarm Optimization(PSO) and Genetic Algorithms(GA) are applied to the problem of beamshaping of antenna arrays. We use MATLAB to calculate both the line array with ten elements and the circle array with thirty one elements and obtain the desired beam forms. Comparing PSO with GA we can see their advantatges and disadvantages in shaping the beams. We try to use a modified Bernstein polynomial to reduce the number of variables when calculating the circle array. Finally we use PSO to optimize the circle array and obtain a beam form with a flat top which is needed in the practical design.

Key words: PSO, GA, array antenna, shaped beam


  • TN821+.8