Wireless relays can effectively extend the transmission range of information. However, if relay technology is utilized unlawfully, it can amplify potential harm. Effectively surveilling illegitimate relay links poses a challenging problem. Unmanned aerial vehicles (UAVs) can proactively surveil wireless relay systems due to their flexible mobility. This work focuses on maximizing the eavesdropping rate (ER) of UAVs by jointly optimizing the trajectory and jamming power. To address this challenge, we propose a new iterative algorithm based on block coordinate descent and successive convex approximation technologies. Simulation results demonstrate that the proposed algorithm significantly enhances the ER through trajectory and jamming power optimization.

翻译：无线中继技术能有效扩展信息传输范围。然而若中继技术被非法利用，其潜在危害将被放大。对非法中继链路实施有效监控是一个具有挑战性的问题。无人机凭借其灵活的机动性，可对无线中继系统实施主动监控。本研究通过联合优化轨迹与干扰功率，致力于最大化无人机的窃听速率。针对此问题，我们提出一种基于块坐标下降与逐次凸逼近技术的新型迭代算法。仿真结果表明，所提算法通过轨迹与干扰功率优化，能显著提升窃听速率。