Abstract:

In order to solve the problems of the targets being outside of the database, inconsistent classification of each feature in the radar automatic recognition system and aliasing of different types of targets in the lowresolution radar, based on the support vector machine classification algorithm, the confidence interval is obtained by analyzing the sample characteristic values, the cost function is used to determine the rejection threshold, and it is used to reject outside targets and aliasing targets. According to the recognition rate of training samples, the water-filling theory is introduced to the attribute weights assignment. Then, the support vector machine is used for target recognition. The experiments with the radar measured data show that the performance of the support vector machine has been well improved.