J4 ›› 2014, Vol. 41 ›› Issue (1): 29-33+86.doi: 10.3969/j.issn.1001-2400.2014.01.006

• 研究论文 • 上一篇    下一篇

入侵杂草优化算法用于阵列天线方向图综合

刘燕1;焦永昌1;张亚明2;王新宽1   

  1. (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;
    2. 西北工业大学 电子信息学院,陕西 西安  710129)
  • 收稿日期:2012-10-15 出版日期:2014-02-20 发布日期:2014-04-02
  • 通讯作者: 刘燕
  • 作者简介:刘燕(1982-),女,西安电子科技大学博士研究生,E-mail: liuyan_xidian@163.com.
  • 基金资助:

    国家自然科学基金资助项目(61201022)

Application of the invasive weed optimization algorithm to the pattern synthesis of array antennas

LIU Yan1;JIAO Yongchang1;ZHANG Yaming2;WANG Xinkuan1   

  1. (1. Science and Technology on Antenna and Microwave Lab., Xidian Univ., Xi'an  710071, China;
    2. School of Elec. & Info., Northwestern Polytechnical Univ., Xi'an  710129, China)
  • Received:2012-10-15 Online:2014-02-20 Published:2014-04-02
  • Contact: LIU Yan

摘要:

针对目前智能优化算法在处理具有多零点、凹口和低旁瓣等要求的复杂阵列天线方向图综合问题时易出现收敛速度慢或局部最优的问题,引入一种新型入侵杂草优化算法,并在此基础上设计了一种自适应入侵杂草优化算法.新算法既提高了收敛速度,又平衡了全局和局部搜索能力.与同类算法相比,新算法在处理复杂阵列天线方向图综合问题中性能更佳,具有更高的收敛速度和计算精度.

关键词: 阵列天线, 方向图综合, 入侵杂草优化算法, 零点, 凹口, 低旁瓣

Abstract:

For overcoming the problem of slow convergence speed and local optimum by using the existing intelligent optimization algorithms in the pattern synthesis of antenna arrays with nulls, notches and sidelobe reduction, a novel invasive weed optimization(IWO) algorithm is presented, and an adaptive IWO is designed to improve the convergence speed and make a balance between the global and local searching ability. Simulation results show that, compared with other existing algorithms, the proposed algorithm performs better, with higher convergence speed and better computation accuracy.

Key words: array antennas, pattern synthesis, invasive weed optimization, nulls, notches, sidelobe reduction

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