基于<i<Q</i<-学习算法的认知雷达对抗过程设计

Design of Cognitive Radar Jamming Based on <i<Q</i<-Learning Algorithm

  • 摘要: 将认知概念引入雷达电子对抗,可使干扰系统在动态对抗过程中通过自主学习,确定最具针对性的干扰策略,实现动态高效干扰.在认知雷达对抗概念和内涵讨论基础上,设计了基于<i<Q</i<-学习算法的雷达对抗过程,总结了认知对抗实现中的关键技术难点,最后对过程的具体实现进行了仿真,验证了雷达认知对抗中<i<Q</i<值的收敛过程以及先验知识对算法性能的改善情况.

     

    Abstract: Employing the concept of cognition into radar jamming, the jamming system can implement behavior learning in the dynamic jamming process, which can ensure the most suitable jamming plan scheduling and then achieve the most efficient jamming effect. The concept and connotation of cognitive radar countermeasure were discussed firstly in this paper. Then the cognitive radar ECM process flow was devised based on <i<Q</i<-learning algorithm and the key techniques in the cognitive jamming process were brought forward. At last, the verifying simulations of convergence of the cognitive ECM process and the performance improvement with prior information were presented.

     

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