【摘要】 本文对通信对抗中干扰决策方法展开研究，旨在解决人为手动干扰决策带来的对抗方式单一、极易被敌军发现、干扰效率不佳等问题。随着科技的发展，各种电子技术层出不穷，这就导致电子战争中的环境变得越来越复杂，为了应对这种复杂的环境，并达到预期的干扰效果，本文提出一种基于改进双延迟深度确定性策略梯度算法(TD3)的智能通信干扰决策方法，以解决通信干扰过程中的干扰决策问题。TD3算法不仅能够应对连续动作空间而且具有高稳定性的特点。另外，改进的TD3算法使学习的过程更加迅速，算法的结果也更加收敛。仿真结果表明，基于该算法的改进，通信干扰成功率比原算法提升了28%。更多还原

【Abstract】 The article conducts research on interference decision-making methods in communication countermeasures, aiming to solve the problems of single countermeasures, easy detection by the enemy, and poor interference efficiency caused by manual interference decision-making. With the development of technology, various electronic technologies have emerged one after another, which has led to increasingly complex environments in electronic warfare. In order to cope with this complex environment and achieve the expected interference effects, this paper proposes an intelligent communication interference decision-making method based on the improved Twin Delayed Deep Deterministic Policy Gradient Algorithm(TD3), to address interference decision-making issues during communication interference processes. In addition, the improved TD3 algorithm makes the learning process faster and the algorithm’s results more convergent. Simulation results show that the improvement based on this algorithm increases the communication interference success rate by 28% compared to the original algorithm.更多还原