计算机工程与应用 ›› 2007, Vol. 43 ›› Issue (27): 187-189.

• 工程与应用 • 上一篇    下一篇

基于免疫遗传算法的雷达重复频率选择

吴 涛1,2,尚 丽1,王 荣1   

  1. 1.安徽大学 数学与计算科学学院,合肥 230039
    2.安徽大学 智能计算与信号处理教育部重点实验室,合肥 230039
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2007-09-21 发布日期:2007-09-21
  • 通讯作者: 吴 涛

Medium PRF set selection based on IGA

WU Tao1,2,SHANG Li1,WANG Rong1   

  1. 1.School of Mathematics and Computational Science,Anhui University,Hefei 230039,China
    2.Key Laboratory of Intelligent Computing & Signal Processing of Ministry of Education,Auhui University,Hefei 230039,China
  • Received:1900-01-01 Revised:1900-01-01 Online:2007-09-21 Published:2007-09-21
  • Contact: WU Tao

摘要: 多普勒雷达能够在较强的杂波背景中检测目标,被广泛应用,但它既存在距离模糊,又存在速度模糊,需要在巨大的解空间中选择一组重复频率解模糊。免疫遗传算法是基于免疫原理,对遗传算法的改进,它克服了遗传算法易早熟、搜索效率低、不能很好保持个体的多样性等缺点。运用基于实数编码的免疫遗传算法来选择多重中脉重复频率。实验表明该方法便于编码,比基本的遗传算法能更快更准确地找到满意解。

关键词: 免疫遗传算法, 脉冲多普勒雷达, 盲区

Abstract: As Pulsed-Doppler radars can detect target from background of very large clutter beam,they have been widely used.But there are unavoidably blind regions in range and velocity.So,a set of PRFs need to be selected to resolve ambiguity.Immune Genetic Algorithm(IGA) is based on immune theory.It’s the improvement of GA,and conquers GA’s disadvantage such as:premature,low efficiency of perform and less individual diversity.This paper selects multiple PRFs using IGA,based on real coding.The experiment shows that this method turns out to be convenient for coding and finding optimal solutions more accurately than general GA.

Key words: Immune Genetic Algorithm(IGA), Pulsed-Doppler radar, blind region