计算机应用 ›› 2010, Vol. 30 ›› Issue (07): 1739-1741.

• 网络与通信 • 上一篇    下一篇

基于遗传算法的深空探测天线综合

曹海林1,杨力生2,王韬3,王帅涛2   

  1. 1. 重庆大学通信与测控中心;运载器测控与通信教育部重点实验室
    2.
    3. 重庆大学通信工程学院
  • 收稿日期:2010-02-11 修回日期:2010-03-17 发布日期:2010-07-01 出版日期:2010-07-01
  • 通讯作者: 曹海林
  • 基金资助:
    教育部新世纪优秀人才计划资助项目;重庆市院士基金项目

Pattern synthesis of antenna in deepspace exploration with genetic algorithm

  • Received:2010-02-11 Revised:2010-03-17 Online:2010-07-01 Published:2010-07-01
  • Contact: Hailin CAO
  • Supported by:
    the Program for New Century Excellent Talents of the Ministry of Education of China

摘要: 为了改善深空探测中共焦面阵列馈电抛物反射面天线的可视范围,提出一种基于遗传算法的扫描波束综合方法。基于物理光学法计算共焦面馈电阵中每个馈源照射反射面的次级远场方向图,利用遗传算法优化得到的权值对各次级方向图加权合成期望的波束。仿真和分析结果表明:提出的基于遗传算法的共焦面阵列馈电反射面方向图综合与传统共轭场匹配方法相比,可控制旁瓣电平,更精确综合出期望方向图,扩大深空探测天线的可视范围。

关键词: 方向图综合, 遗传算法, 深空探测, 共焦面阵列, 共轭场匹配

Abstract: Genetic Algorithm (GA) was used to synthesize the patterns of the focal plane array feeding parabolic reflector antenna in deepspace exploration. Physical optics was used to compute the far field pattern of the antenna for excitation of each of the individual array elements in focalplane array. Various scanning patterns were synthesized for deepspace exploration with this GA. The results show the proposed algorithm can control the sidelobe level, more precisely synthesize the expected pattern, and expand the visual range of deep space exploration antenna.

Key words: Pattern synthesis, genetic algorithm, deep-space exploration, focal-plane array, conjugate field matching