反无人机技术综述：通信技术与人工智能的融合

摘要：对当前反无人机技术的最新进展进行了全面的梳理，内容涵盖了从主动反制策略到被动检测技术的广泛领域。首先审视了主动干预技术，如电磁干扰、激光系统和无线电频率干扰，以及被动监测技术，包括雷达、光学和热成像等。随后，深入探讨了现代通信技术在反无人机系统中的应用，重点关注了高速数据传输、信号覆盖、高精度定位、动态频率切换、宽频带和多输入多输出（MIMO）技术等方面的支持作用。此外，还详细分析了人工智能技术在提高反无人机效能方面的研究成果和应用算法，指出了目前的成就以及未来发展的潜在方向。最后展望了反无人机技术的未来发展趋势，包括自主学习、对抗博弈和多智能体协同等方面，并对这些新兴趋势可能带来的挑战及其解决方案进行了前瞻性讨论。本研究可为反无人机技术的未来发展提供一个全面的理论框架参考。

关键词：反无人机技术；智能无人系统；通信技术；人工智能；自主学习；对抗博弈；多智能体协同

Abstract: The latest advancements in anti-drone technology are analyzed, encompassing a wide range of areas from active countermeasures to passive detection methods. The active intervention technologies are discussed including electromagnetic interference, laser systems, and radio frequency jamming, as well as passive surveillance methods like radar, optical, and thermal imaging. Subsequently, the application of modern communication technologies in supporting anti-drone systems is deeply explored, especially high-speed data transmission, signal coverage, high-precision positioning, dynamic frequency switching, broadband, and multiple-input multiple-output(MIMO) technologies. Moreover, the research outcomes and applied algorithms of artificial intelligence in enhancing the efficiency of anti-drone technologies are meticulously analyzed, and their current achievements and potential directions for future development are highlighted. Finally, the future trends in anti-drone technology is forecasted, including autonomous learning, adversarial gaming, and multi-agent collaboration, and discusses the challenges these emerging trends may face along with their solutions. This study can provide a holistic framework for the future development of anti-drone technology.

Keywords: anti-drone technology; intelligent unmanned system; communication technology; artificial intelligence; autonomous learning; adversarial gaming; multi-agent collaboration