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.