Intelligent anti-jamming strategy for radar based on reinforcement learning

Radar in the process of work in the face of the complexity and variability of the jamming environment, with anti-jamming measures are difficult to exhaustive, due to the limitations of a priori knowledge and empirical knowledge, in the face of complex jamming pattern is difficult to ensure the quality of its anti-jamming. In this regard, the paper discusses different types of jamming signals, analyzes the mechanism of different types of jamming signals and carries out simulation. A reinforcement learning algorithm is introduced in the paper, and an intelligent anti-jamming strategy for radar based on reinforcement learning is proposed. The simulation results show that the intelligent degree of radar anti-jamming is effectively improved compared with the traditional anti-jamming strategy selection.