ANTI-JAMMING STRATEGY FOR IRS-AIDED JRC SYSTEM IN VEHICULAR NETWORKS

This paper focuses on the deployment of an intelligent reflecting surface (IRS) to improve anti-jamming joint radar communication (JRC) performance and eliminate jamming disturbance by adaptively controlling the reflection coefficients of the IRS. To improve the JRC performance against malicious attackers, an optimization problem for designing transmit beamforming at the JRC-based road side unit (RSU) and reflection beamforming at the IRS is established while both ensuring quality of service (QoS) requirement of multiple vehicles and target detection performance of RSU. Since the jamming activity is uncertain, an efficient multi-objective twin delayed deep deterministic policy gradient (TD3)-based method is developed to realize the optimized anti-jamming strategy, where the proposed technique is able to rapidly attain the optimized solution. Numerical simulation exhibits that our anti-jamming TD3 model-based method enhances both the QoS performance of vehicular communications and radar detection capability compared with the existing methods.