Identification friend or foe (IFF) of aircraft target based on TS-ANFIS

The target identification of friend or foe is one of the important means of military confrontation in the modern informationized battlefield. It can greatly enhance the accuracy of combat command and control, and the coordination between combat units, then reduce the probability of false injury. In this paper, a target attribute recognition algorithm is proposed based on the Time Series-Adaptive Neuro-Fuzzy Inference System (TS-ANFIS) with consideration of target motion characteristics. The altitude, speed and flexibility information of tracks detected by radar are preprocessed as time series and act as input data to train the TS-ANFIS networks of corresponding airspace. Then evidence theory is introduced to fuse the recognition confidence. Experiments on the generated track dataset demonstrate the effectiveness of TS-ANFIS to learn the motion features and distinguish target attributes.