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应用Hopfield神经网络抑制高频地波雷达中短波通信干扰
引用本文:桂任舟,杨子杰.应用Hopfield神经网络抑制高频地波雷达中短波通信干扰[J].电波科学学报,2006,21(5):763-767.
作者姓名:桂任舟  杨子杰
作者单位:武汉大学,电子信息学院,湖北,武汉,430079
基金项目:国家高技术研究发展计划(863计划)
摘    要:首先分析混频输入级高频地波雷达中短波通信干扰的特征,借鉴用基于LMS算法的自适应滤波方法抑制短波通信干扰的处理思想,通过构建基于Hopfield神经网络的自适应滤波器来抑制短波通信干扰.通过仿真比较这两种自适应滤波器的处理效果,验证了用基于Hopfield神经网络的自适应滤波来抑制短波通信干扰方案是可行的.

关 键 词:Hopfield神经网络  短波通信干扰  自适应滤波
文章编号:1005-0388(2006)05-0763-05
收稿时间:2004-10-28
修稿时间:2004年10月28

Applying Hopfield neural network to suppress shortwave communication interferences in high frequency surface wave radar
GUI Ren-zhou,YANG Zi-jie.Applying Hopfield neural network to suppress shortwave communication interferences in high frequency surface wave radar[J].Chinese Journal of Radio Science,2006,21(5):763-767.
Authors:GUI Ren-zhou  YANG Zi-jie
Affiliation:School of Electronic Information , Wullau University , Wuhan Hubei 430079, China
Abstract:By analyzing the properties of shortwave communication interferences (SCI) in high frequency surface wave radar, especially the properties of SCI at the mixing input site in the receiver, a method of exploiting the adaptive filter based on Hopfield neural network (HNN) to suppress SCI is proposed in this paper. Compared with the adaptive filter based on LMS (least mean square) algorithm, the simulation results show that the feasibility of the method based on HNN scheme for suppressing SCI in high frequency surface wave radar.
Keywords:Hopfield neural network (HNN)  shortwave communication interferences (SCI)  adaptive filter
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