Networking radar interference and mutual interference resolution method based on decentralized Q learning

The invention discloses a networking radar interference and mutual interference digestion method based on decentration Q learning, which comprises the following steps: firstly, establishing a target echo signal model, an interference signal model and a mutual interference signal model according to a phased array radar signal processing flow, and secondly, analyzing the interference and mutual interference conditions of a radar, a multi-radar frequency domain resource scheduling optimization model based on an SIJNR criterion is established, then each radar is regarded as an intelligent agent, a multi-radar cooperative anti-interference and anti-mutual-interference process is constructed as a generalized Markov decision process, the frequency domain resource scheduling optimization model is converted into a value function optimization model, and finally the problem is solved by using a DQJIE algorithm. And obtaining a frequency agility strategy of each radar. According to the method, a multi-radar cooperative a