Evolvable intelligent single-mode airborne radar target tracking method

The invention discloses an evolutionary intelligent single-mode airborne radar target tracking method, and relates to the technical field of intelligent radars, and the method comprises the steps: building a rule base containing radar parameters, and selecting an optimal radar tracking strategy from the rule base to carry out the irradiation tracking of a tracking target according to different actions of the tracking target; preprocessing the radar echo; performing Bayesian clutter suppression on the preprocessed radar echo to obtain basic motion information of the tracking target; performing adaptive tracking on the tracking target; performing learning evaluation on the tracking data; constructing a deep reinforcement learning network, and deciding an operation strategy of the radar at the next moment; according to the method, tracking data is extracted as a training set to train a deep reinforcement learning network, and the deep reinforcement learning network is used to select a tracking target strategy wi