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基于RBF神经网络的引信智能天线多目标方向估计
引用本文:黄忠华,张旭东,韩芳. 基于RBF神经网络的引信智能天线多目标方向估计[J]. 探测与控制学报, 2003, 25(Z1): 4-6
作者姓名:黄忠华  张旭东  韩芳
作者单位:1. 北京理工大学机电工程学院,北京,100081
2. 总参谋部第四部,北京,100083
摘    要:提出了一种基于径向基函数(RBF)神经网络的引信智能天线多目标方向估计算法,对引信智能天线进行了结构和训练算法的设计.理论分析和测试结果表明,此算法充分利用了径向基函数神经网络的结构简单、自学习能力强、运算速度快、模式分类能力强等特点,可以实现多目标高分辨率方向估计.

关 键 词:引信智能天线  径向基函数神经网络  多目标方向估计
文章编号:1008-1194(2003)S0-0004-03
修稿时间:2002-08-09

Estimation Algorithm of Multi-targets Direction of Arrival in Fuze Smart Antenna Based on RBF Neural Network
HUANG Zhong-hua,ZHANG Xu-dong,HAN Fang. Estimation Algorithm of Multi-targets Direction of Arrival in Fuze Smart Antenna Based on RBF Neural Network[J]. Journal of Detection & Control, 2003, 25(Z1): 4-6
Authors:HUANG Zhong-hua  ZHANG Xu-dong  HAN Fang
Abstract:A radial basis function neural network based estimation algorithm of multi targets direction of arrival in fuze smart antenna system is put forward, and design of architecture and network training algorithm for such fuze smart antenna are given in this article. Theoretic analysis and test results show that this algorithm takes full advantage of the radial basis function neural network, such as simple structure,strong self study ability, high computing speed and good pattern classifier,etc. So it can realize estimation of multi targets direction of arrival with high distinguishing ratio.
Keywords:fuze smart antenna  radial basis function neural network  estimation of multi targets direction of arrival
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