Deep Reinforcement Learning-Based Radar Network Target Assignment

This study focuses on the problem of target assignment when a phased-array radar network detects hypersonic-glide vehicles in near-space and proposes a method for target assignment based on deep reinforcement learning. The state, action, and reward functions of the agent and the structure of the deep Q network are designed. To solve the problem of the large scale of the agent’s action space, an in...