A study of information fusion for UAV based on RBF neural network

被引：0
|
作者：
Yuan Dongli [1 ]
Yan Jianguo [1 ]
Wang Xinmin [1 ]
Xi Qingbiao [2 ]
机构：
[1] Northwestern Polytech Univ, Coll Automat, Xian 710072, Peoples R China
[2] Northwestern Polytech Univ, ASN Technol, Xian 710072, Peoples R China
来源：
2007 IEEE INTERNATIONAL CONFERENCE ON CONTROL AND AUTOMATION, VOLS 1-7 | 2007年
关键词：
RBF neural network; UAV (Unmanned Aerial Vehicle); integrated navigation; multisensor information fusion;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
We all know that it is very difficult to create accurate model for UAV navigation system because that this system is nonlinear system, at the same time, the environment information provided by information sources of multi-sensor in UAV is uncertain. Correspondingly, neural network can provide precise navigation information for UAV by fusing multi-source information that is uncertain, incomplete and mutually exclusive, accordingly to ensure navigation precise. This paper put forwards an information fusion method for UAV integrated navigation system based on RBF neural network. The simulation results show that this method can provide satisfactory navigation information.
引用
收藏
页码：951 / +
页数：3
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