Frequency Control Scheme for Target Tracking under Dynamic Electromagnetic Environment

This paper proposes a frequency control (FC) scheme for radar systems that aims to improve target tracking accuracy under dynamic jamming environments. Specifically, the radar must alter the transmit frequency to reduce the impact of jamming. To combat the dynamic jammer, we construct FC as a Markov Decision Process (MDP) within a reinforcement learning framework. By applying a policy iteration technique to the MDP, an optimal strategy can be learned guiding the radar how to choose the transmit frequency at every frame. Since the entire target tracking process is real-time, a trade-off method is to balance the relationship between the model update and FC scheme utilization until online tracking process is over. Simulation results indicate that the proposed method can evidently beat the dynamic jamming and improve the target tracking accuracy.