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应用科学学报 ›› 2004, Vol. 22 ›› Issue (3): 314-317.

• 论文 • 上一篇    下一篇

遗传算法在相控阵子阵量化随机馈相中的应用

刘昊1, 樊德森2   

  1. 1 中国航天科技集团704所 北京 100076;
    2 中国科学技术大学电子工程与信息科学系 安徽合肥 230026
  • 收稿日期:2003-06-13 修回日期:2003-10-31 出版日期:2004-09-30 发布日期:2004-09-30
  • 作者简介:刘昊(1976-),男,江西南昌人,博士生;樊德森(1938-),男,浙江温州人,教授,博导.

The Application of Genetic Algorithm in Randomizing Phase Feeding of Phased Arrays Sub-array Quantization

LIU hao1, FAN De-sen2   

  1. 1. China Aerospace Science Corporation 704 institute;Bejing 100076, China;
    2. Department of EEIS, University of Science and Technology of China, Hefei 230026, China
  • Received:2003-06-13 Revised:2003-10-31 Online:2004-09-30 Published:2004-09-30

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摘要： 在大型相控阵中,为了减少昂贵的数字移相器,一般采用子阵技术.但这又带来新的问题,子阵相位量化时,到底是采用前一个单元的相位还是采用后一个单元的相位,量化时是舍去还是进入,这些都给子阵相位量化的分析增加了复杂性.在子阵量化随机馈相的基础上,采用遗传算法对子阵量化中各种随机馈相的方案进行优化,并给出应用实例,取得了令人满意的优化结果.

关键词: 移相器, 随机馈相, 遗传算法

Abstract: In Iarge scale phased arrays, we apply the sub-array technique to reduce the number of expensive digital shifters. But new problems will arise when it comes to sub-array phase quantization——which phase should be chosen? The former or the later element? All this makes the analysis of sub-array phase quantization more complicated. On the basis of sub-array quantization randomizing phase feeding, we use genetic algorithm to optimize the randomizing phase feeding and give an optimization example, in which a good result is obtained.

Key words: genetic algorithm, shifter, randomizing phase feeding

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