基于遗传退火算法的MTI滤波器设计方法
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  • 英文篇名:MTI Filter Design Method Based on Genetic Annealing Algorithm
  • 作者:丁坚 ; 张仕元 ; 孙林涛
  • 英文作者:DING Jian;ZHANG Shiyuan;SUN Lintao;Nanjing Research Institute of Electronics Technology;Unit 63615 of PLA;
  • 关键词:遗传退火算法 ; 动目标显示 ; 杂波抑制
  • 英文关键词:genetic annealing algorithm merge;;moving target indication;;clutter suppression
  • 中文刊名:XDLD
  • 英文刊名:Modern Radar
  • 机构:南京电子技术研究所;中国人民解放军第63615部队;
  • 出版日期:2019-06-15
  • 出版单位:现代雷达
  • 年:2019
  • 期:v.41;No.343
  • 语种:中文;
  • 页:XDLD201906008
  • 页数:4
  • CN:06
  • ISSN:32-1353/TN
  • 分类号:45-48
摘要
动目标显示(MTI)是雷达杂波抑制的重要技术之一,MTI滤波器系数和脉冲参差比设计对MTI的抗杂波性能至关重要。遗传退火算法将模拟退火算法过程溶入遗传算法,同时克服了遗传算法容易陷入局部最优和模拟退火算法收敛速度慢的缺点。文中介绍了一种将遗传退火算法应用于MTI滤波器的设计方法,该方法可找到最优MTI滤波器。实验结果表明,针对给定的MTI滤波器设计要求,该方法能快速完成优化遍历,优化后滤波器性能提升明显。
        Moving target indication(MTI) is one of the clutter suppression technologies of radar. The design of MTI filter coefficients and pulse staggered ratio is very important to the MTI performance against clutter. Genetic annealing algorithm merge simulated annealing algorithm into genetic algorithm, it recovers the weaknesses of genetic algorithm's easy to fall into locally optimal solution and simulated annealing algorithm's slow convergence at the same time. This paper introduces a MTI filter design method based on genetic annealing algorithm, which can find the global optimal solution of MTI filter. The experimental results show that, for the given requirement, the proposed method can complete the optimization quickly and improve the performance of MTI filter obviously.
引文
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