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应用科学学报 ›› 2003, Vol. 21 ›› Issue (1): 36-38.

• 论文 • 上一篇    下一篇

基于免疫神经网络的雷达天线扫描方式的识别

唐斌, 胡光锐   

  1. 上海交通大学电子工程系 上海 200030
  • 收稿日期:2001-09-08 修回日期:2002-04-16 出版日期:2003-03-10 发布日期:2003-03-10
  • 作者简介:唐斌(1974-),男,江苏扬州人,高工;胡光锐(1938-),男,上海人,教授,博导.
  • 基金资助:
    国防科技预研重点课题(33.6.2.7)

Recognition of the Scanning Style of the Radar Antenna Using Immune Neural Networks

TANG Bin, HU Guang-rui   

  1. Department of Electronic Engineering, Shanghai Jiaotong University, Shanghai 200030, China
  • Received:2001-09-08 Revised:2002-04-16 Online:2003-03-10 Published:2003-03-10

PDF

101

被引次数

20

摘要： 采用了免疫RBF网络进行雷达天线扫描方式的识别.计算机仿真结果表明,对目前常见的几种简单的雷达天线扫描方式,免疫RBF网络系统在输入信噪比为4dB时的识别率已经达到99.13%,而它的网络训练步数仅需99步,具有非常优越的性能.

关键词: 雷达天线扫描方式, 进化算法, 免疫进化算法, 径向基函数网络

Abstract: The scanning style of the radar antenna varies with the working state. The correct recognition of radar scanning style is important in deciding its threatening degree to our side. It is also an important means to recognize the types and working styles of radar. We uses the radial basis function (RBF) network based on immune evolutionary algorithm to recognize the scanning style of the radar antenna. Computer simulation shows that for simple radar scanning styles, the recognition rate of immune RBF network has reached 99. 13% when SNR is 4dB. The training period of the network has only 99 steps, which proves its excellent performance.

Key words: RBF network, evolutionary algorithm, immune evolutionary algorithm, scanning style of the radar antenna

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