LOW-ANGLE RADAR TRACKING USING RADIAL BASIS FUNCTION NEURAL-NETWORK

被引：4

作者：

WONG, T ^{[1
]}

LO, T ^{[1
]}

LEUNG, H ^{[1
]}

LITVA, J ^{[1
]}

BOSSE, E ^{[1
]}

机构：

[1] DEF RES ESTAB,OTTAWA K1A 0Z4,ONTARIO,CANADA

来源：

IEE PROCEEDINGS-F RADAR AND SIGNAL PROCESSING | 1993年 / 140卷 / 05期

关键词：

RADAR TRACKING; NEURAL NETS;

D O I：

10.1049/ip-f-2.1993.0045

中图分类号：

TN [电子技术、通信技术];

学科分类号：

0809 ;

摘要：

The authors apply the radial basis function (RBF) neural network to low-angle radar tracking. Computer simulations show that the RBF network is capable of tracking both stationary and moving targets with high accuracy. As well, the tracking performance of the RBF network is evaluated under different signal-to-noise ratio situations. Furthermore, real-life data are used to test the RBF network. The results demonstrate the robustness and effectiveness of the network in terms of its independence of array errors and of the nature of the noise background,

引用

页码：323 / 328

页数：6

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