Synthesis of Intelligent Antenna Array Using Radial Basis Function Networks

被引：0
|
作者：
Sarevska, Maja [1 ]
Milovanovic, Bratislav [1 ]
Stankovic, Zoran [1 ]
机构：
[1] Univ Nis, Fac Elect Engn, Aleksandra Medvedeva 14, Nish 18000, Serbia
来源：
2013 11TH INTERNATIONAL CONFERENCE ON TELECOMMUNICATIONS IN MODERN SATELLITE, CABLE AND BROADCASTING SERVICES (TELSIKS), VOLS 1 AND 2 | 2013年
关键词：
Intelligent antenna array; neural computing; signal processing; Radial Basis Function Networks; APPROXIMATION;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This paper considers antenna array synthesis for linear amplitude and phase distribution of the element excitations. Following the concept of human brain, large number of neurons is assumed and radial basis neural network with exact solution is used. Detailed analyze of performances are presented for different values of the number of training samples and different number of antenna elements. First regular antenna array is presented and then the investigation is broadened to linear amplitude distribution. A small mean error of the amplitude and phase at the output of the network are concluded, showing the ability of the network to perform the synthesis. This analyze is strong basis for guidance in a future synthesis of a more irregular antenna array.
引用
收藏
页码：521 / 525
页数：5
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