计算机工程与应用 ›› 2010, Vol. 46 ›› Issue (12): 239-241.DOI: 10.3778/j.issn.1002-8331.2010.12.072

• 工程与应用 • 上一篇    下一篇

一种雷达辐射源识别模型研究

朱 方,王付明   

  1. 解放军信息工程大学 电子技术学院,郑州 450004
  • 收稿日期:2008-10-14 修回日期:2009-01-05 出版日期:2010-04-21 发布日期:2010-04-21
  • 通讯作者: 朱 方

Research on one kind of radar emitter recognition model

ZHU Fang,WANG Fu-ming   

  1. Institute of Electronic Technology,the PLA Information Engineering University,Zhengzhou 450004,China
  • Received:2008-10-14 Revised:2009-01-05 Online:2010-04-21 Published:2010-04-21
  • Contact: ZHU Fang

摘要: 复杂电磁环境下雷达辐射源识别问题是当前急需解决的难题。针对雷达辐射源识别中不确定信息影响,改进数据库比对识别法,通过融合BAM神经网络(NN)和模糊推理(FR),建立基于NN-FR的雷达辐射源识别模型,以达到缩短识别时间,提高识别效率的目的,为复杂电磁环境下识别雷达辐射源探索新的方法。

Abstract: The radar emitter recognition under the complex electromagnetic environment is the difficult problem needed to settle urgently.Aiming at setting the problem of uncertain information,the database correlative method recognition is improved,the radar emitter recognition model based on NN-FR is built through fusing BAM and NN.So that the recognition time is reduced and the recognition efficiency is raised.One new method for the radar emitter recognition under the complex electromagnetic environment is explored.

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