舰船电子对抗

阐述了智能化干扰决策在电子战发展中的背景与意义，明确了其基本概念及在现代战争中的关键地位与战略价值。深入剖析了支撑智能化干扰决策的关键技术体系，重点围绕状态识别与预测、干扰参数控制与优化、资源调度与分配3大核心技术，分析了各类技术方法的特点及适用场景。进一步归纳评述了主流智能干扰决策方法，涵盖强化学习方法、群智能算法以及其他智能方法，详细介绍了其原理与应用，并系统比较了不同方法的优势、局限及适用条件。最后，从自主学习与在线演进、多域协同与体系化博弈、可解释性与可靠性保障3个维度，展望了该领域未来的发展趋势与挑战。

This paper elaborates on the background and significance of intelligent jamming decision-making in electronic warfare development, clarifies the fundamental concepts as well as the critical role and strategic value in modern warfare, conducts an in-depth analysis on the key technology systems that support intelligent jamming decision-making, focuses on three core technologies: state recognition and prediction, jamming parameter control and optimization, resource scheduling and allocation, analyzes the characteristics and applicable scenarios of various technical approaches.Furthermore, this paper reviews mainstream intelligent jamming decision-making methods: reinforcement learning approach, swarm intelligence algorithm and other intelligent methods, introduces their principles and applications in detail, and systematically compares the superiority, limitations and applicable conditions of different methods.Finally, this paper prospects future development trends and challenges in the field from three dimensions: autonomous learning and online evolution, multi-domain collaboration and systematic game theory, interpretability and reliability assurance.