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基于一种新型RBF网络的捷变频雷达频率预测技术
引用本文:宫新保,臧小刚,范晔,周希朗,胡光锐.基于一种新型RBF网络的捷变频雷达频率预测技术[J].信号处理,2004,20(3):315-317.
作者姓名:宫新保  臧小刚  范晔  周希朗  胡光锐
作者单位:上海交通大学电子工程系,上海,200030
基金项目:国防科技预研重点课题(编号 33.6.2.7)
摘    要:针对捷变频雷达的频率预测问题,提出了基于一种新型RBF网络的频率预测方法。该方法将频率预测问题等效为伪随机序列预测问题,并采用结合人工免疫聚类和进化规划的混合算法确定RBF网络的隐层参数。计算机仿真表明,采用这种方法设计的RBF网络预测器可以准确地预测捷变频码,是一种对抗捷变频雷达的有效方式。

关 键 词:捷变频雷达  径向基函数网络  人工免疫聚类  进化规划
修稿时间:2003年2月17日

Frequency Prediction of Frequency-agile Radar Based on a Novel RBF Network
Gong Xinbao,Zang Xiaogang,Fan Ye,Zhou Xilang,Hu Guangrui Dept. of Electronic Eng.,Shanghai Jiaotong Univ.,Shanghai ,China.Frequency Prediction of Frequency-agile Radar Based on a Novel RBF Network[J].Signal Processing,2004,20(3):315-317.
Authors:Gong Xinbao  Zang Xiaogang  Fan Ye  Zhou Xilang  Hu Guangrui Dept of Electronic Eng  Shanghai Jiaotong Univ  Shanghai  China
Institution:Gong Xinbao,Zang Xiaogang,Fan Ye,Zhou Xilang,Hu Guangrui Dept. of Electronic Eng.,Shanghai Jiaotong Univ.,Shanghai 200030,China
Abstract:A prediction method based on a novel RBF network is proposed in the frequency prediction of agile radar. In this method frequency prediction problem is taken as prediction of pseudo random series, and a hybrid method based on artificial immune clustering and evolutionary programming is used to determine the parameters of RBF hidden layer. Computer simulations demonstrate that RBF network predictor designed in this method can predict Frequency-agile sequences accurately, and is an effective method to combat frequency-agile radars.
Keywords:frequency-agile radar  RBF network  artificial immune clustering  evolutionary programming
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