Aircraft target recognition using adaptive time-delay neural network

In this paper, an adaptive time-delay neural network (ATDNN) classifier based on high resolution radar down range profiles is proposed for use in aircraft target recognition, and a peak-based feature extraction technique for the range profiles is introduced. The results of experiments show that the average correct recognition rate of scale model aircrafts is 87.6% under the condition of three kinds of aircrafts.