Air targets recognition using a fuzzy logic approach

Abstract

In this paper, a fuzzy logic approach (Type-1 Fuzzy Logic Classifier (T1FLC)) is proposed to improve flight recognition ratio. On a basis of measurements, we acquire the high range resolution profiles (HRRP) of three types of air targets, namely F-15, Tu-16 and AH-64. The length and the difference between the two adjacent HRRPS are extracted as two antecedents for the T1FLC. Gaussian membership functions (MFs) are compared with triangle and trapezoidal MFs for the target recognition performance at different constant false alarm rate (CFAR) and signal-to-noise ratio (SNR). Simulation results show that by combining various features of HRRP, our T1FLC can provide a high recognition ratio for different flight targets with robust performance to some extent.