A Cognitive Jamming Decision-making Method for Multi-functional Radar Based on Threat Assessment

Multi-function radar (MFR) plays an important role in modern battlefield, and the cognitive jamming decision-makingmethod for MFR is the key technology to effectively interfere MFR, which is ofgreat research significance. In order to effectively interfere MFR, a cognitivejamming decision-making method based on threat assessment is proposed in thispaper. Firstly, the problem of jamming decision-making is modeled as a Markovdecision process with reward. Creatively, rewards will be given by atrack-based threat assessment model, by which the jamming strategies are ableto fit the real-time requirements of electronic countermeasures. Finally, the Q-Learningalgorithm is used to solve the problem and derive the optimal jamming strategy.Experiment results show that the proposed jamming strategy is more effective inreducing the threat of MFR to the target. Compared with the present methods,the proposed approach has advantages in real-time performance and effectivenessof jamming decision-making, and has more practical value.