吉林大学学报（信息科学版）2012，Vol.30Issue(1)：78-82,5.
模糊神经网络与证据理论的飞机目标敌我识别
Fuzzy Neural Networks and D-S Theory Used in Friend and Foe Identification of Aircraft Target
李勇 1王德功 1杨佐龙1
作者信息
- 1. 空军航空大学航空电子工程系,长春130022
- 折叠
摘要
Abstract
In order to satisfiy the complex battlefield environment, we raise a new method to realize friend and foe identification. Using the ablity of fuzzy neural networks and D-S theory in information processing,fusing the information acquired from IFF(Identification Friend-or-Foe), ESM(Electronic Warfare Support Measure) ,radar and infrared, the identification is realized. The simulation results show that the recognition ability of the method is superior to a single FNN (Fuzzy Neural Networks), classifier recognition rate is 0. 978. And it also has a strong fault-tolerance and a certain degree of immunity, it better suited to the battlefield needs.关键词
模糊神经网络/证据理论/数据融合/敌我识别Key words
fuzzy neural networks/D-S theory/data fusion/friend and foe identification分类
信息技术与安全科学引用本文复制引用
李勇,王德功,杨佐龙..模糊神经网络与证据理论的飞机目标敌我识别[J].吉林大学学报（信息科学版）,2012,30(1):78-82,5.
