Probability data association-based target tracking method and device under infrared active interference condition

The invention discloses a probability data association-based target tracking method and device under an infrared active interference condition, and the method comprises the steps: constructing a model set, determining a target and infrared active interference motion mode according to the model set, and simulating an actual combat simulation scene; establishing an adhesion object measurement model and an infrared sensor error adaptive measurement model; estimating the actual size of the adhesion object, and preprocessing the measurement information of the adhesion object measurement model and the infrared sensor error self-adaptive measurement model; performing data association on the multiple pieces of measurement information to obtain a probability of association between measurement and a track; the target motion model, the adhesion object measurement model and the infrared sensor error adaptive measurement model are processed to carry out target motion state prediction, and target motion state prediction is