A modified RBF neural network and its application in radar

被引：0
|
作者：
Yang Jun [1 ]
Ma Xiaoyan [1 ]
Lu Qianhong [1 ]
Liu Bin [1 ]
Deng Bin [1 ]
机构：
[1] Air Force Radar Acad, Wuhan 400019, Peoples R China
来源：
ADVANCES IN NEURAL NETWORKS - ISNN 2007, PT 3, PROCEEDINGS | 2007年 / 4493卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Aiming at the problem of parameter estimation in radar detection, a modified RBF neural network is proposed to estimate parameter accurately because of its good approximation ability to random nonlinear function and quick convergence speed. Two classical detection methods, which widely used in radar field, are listed in this paper, and their corresponding parameters are estimated with modified RBF neural network. Theoretical analysis and numerical results both show that the proposed method has good parameter estimation accuracy and quick convergence speed.
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页码：981 / +
页数：2
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