基于有限零和博弈和变换域优选的智能抗干扰策略研究

针对目前变换域通信系统面临的通信干扰对抗具有认知性、智能性的特点，急需智能的抗干扰策略以提升系统的适应性和可靠性。通过分析系统的变换域选择和干扰方式选择间的博弈对抗关系，提出了基于有限零和博弈和变换域优选的智能抗干扰策略。通过理论分析建立了变换域抗干扰博弈对抗模型，并给出了纯策略和混合策略的纳什均衡解求解方法，并根据纳什均衡原理求解得出变换域智能抗干扰的最佳选择决策。仿真结果表明，该策略在完全信息情况下，面对新兴的认知干扰机可以实现变换域优选的智能抗干扰，使得误码率相较于最差情况有大幅度降低；同时，验证了基于博弈论分析变换域抗干扰的可行性，为进一步提升变换域通信系统的战场通信抗干扰能力提供了理论支撑。 

Research on intelligent anti-jamming strategy based on finite zero sum game and transformation domain optimization

In view of the cognitive and intelligent characteristics of communication interference countermeasures faced by communication systems in transformation domain, intelligent anti-interference strategies are urgently needed to improve the adaptability and reliability of the system. By analyzing the game antagonism relation between the transformation domain selection and the interference mode selection, an intelligent anti-interference strategy based on finite zero sum game and transformation domain optimization is proposed. Based on the theoretical analysis, the anti-interference game model in the transformation domain is established, and the Nash equilibrium solution method of pure strategy and mixed strategy is given. The simulation results show that this strategy can achieve optimal intelligent interference in the transform domain in the face of new cognitive jammer under the condition of complete information, which can greatly reduce the bit error rate compared with the worst case. At the same time, the feasibility of analyzing the anti-jamming of the transform domain based on game theory is verified, which provides theoretical support for further improving the anti-jamming ability of the battlefield communication of the transform domain communication system.