Radar Intelligent Game Anti-Jamming Strategy Optimisation Based on Jamming Behaviour Inference and Active Induction

With the intelligent development of electronic countermeasures, the more complex and intense countermeasure environment poses a severe challenge to the anti-jamming ability of radar. Aiming at the scene where radar detects and tracks targets, this paper proposes an optimisation method of a radar intelligent game anti-jamming strategy based on the inference and induction of jamming behaviour with an OODA (observation, orientation, decision and action) loop. Firstly, the strategy selection of the OODA loop decision process of the jammer is optimised so that the jammer can predict radar behaviour. Secondly, the radar is given the ability to perceive the jammer strategy and infer the decision-making ability of the jammer, and the radar behaviour with inductive ability is selected to generate the cover pulse so that the radar can recover the detection in time under the disadvantage situation, and the OODA loop cycle speed is improved under the advantage situation. At the same time, the judgement link of the jammer OODA loop is destroyed and the jammer's decision is induced to meet the radar expectation, and the success probability of the radar game against the intelligent jammer is improved comprehensively.