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 r
ecognition 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.

Key words: fuzzy neural networks, D-S theory;data fusion, friend and foe identification