基于RBF神经网络的天线阵方向图建模  

Antenna Array Pattern Modeling Based on RBF Neural Network

作　　者：刘建霞[1] 王芳[1] 谢克明[1] 

机构地区：[1]太原理丁大学信息工程学院,山西太原030024

出　　处：《太原理工大学学报》2008年第1期36-38,42,共4页Journal of Taiyuan University of Technology

基　　金：山西省自然科学基金资助项目(20011033);山西省留学回国人员科研基金资助项目(200224);山西省教育厅科技开发资助项目(20041212)

摘　　要：介绍了径向基函数(Radial Basis Function,RBF)神经网络对阵列天线方向图进行建模的方法,并基于MATLAB仿真平台对由对称振子构成的二元阵、N元边射阵等多种阵列天线进行建模,所有的训练数据是由经典公式计算所得。仿真结果表明经过训练的RBF神经网络可有效地用于阵列天线方向图建模,为天线分析与设计提供很好的帮助。In this paper, modeling of the pattern analyses of antenna arrays is introduced based on the radial basis functions neural network （RBF-NN）. All simulation is based on MAT- LAB platform. Modeling is done for the two element diploes array, element linear array composed by dipole antenna. The RBF-NN is trained by data sets from the typical theory computation. Simulation shows that the trained RBF-NN is feasible in the modeling of antenna arrays radiation pattern. The trained RBF-NN is helpful for the analysis and design of antenna array.

关 键 词：神经网络 阵列天线 方向图建模 RBF 

分 类 号：TN820.1[电子电信—信息与通信工程]