Radial Basis Function Neural Network for Direction-of-Arrivals Estimation

被引：31

作者：

Lo, Titus ^{[1
]}

Leung, Henry ^{[2
]}

Litva, John ^{[1
]}

机构：

[1] McMaster Univ, Commun Res Lab, Hamilton, ON, Canada

[2] Def Res Estab Ottawa, Div Radar, Ottawa, ON, Canada

来源：

IEEE SIGNAL PROCESSING LETTERS | 1994年 / 1卷 / 02期

关键词：

D O I：

10.1109/97.300315

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：

In this letter, we propose the use of a radial basis function (RBF) network for direction-of-arrival (DOA) estimation. The RBF network is used to approximate the functional relationship between sensor outputs and the direction of arrivals. Simulation results show that the new technique has a better performance in terms of estimation errors than the standard MUSIC algorithm.

引用

页码：45 / 47

页数：3