Research on Automotive Radar Mutual Interference Mitigation Method based on V2X Communication Assistance

This article analyzes the interference issues between radar and radar, radar and communication, and communication and communication in a vehicle network equipped with a radar communication integrated system. To improve the signal-to-interference-plus-noise ratio (SINR) of radar signals while ensuring communication quality, we provide an optimized expression for the signal-to-noise ratio of radar signals constrained by communication quality. To solve mixed integer nonlinear programming optimization problems, Q-learning algorithm is introduced. In our Q-learning algorithm, based on the action state space established by transmission power and channel resources, the optimization problem is transformed into solving using a reward function. The evaluation results indicate that compared with existing solutions, the proposed algorithm can more effectively improve the total SINR of radar signals and the throughput of communication signals.