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<p>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.</p>

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

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年2月10日

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  • Yangshui Gao,
  • Liping Kui,
  • Qinbiao Yang,
  • Lei Xiong,
  • Rong Zhang,
  • Zhenting Chen

摘要

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.