Interference resource scheduling optimization method and device based on target situation awareness

The invention provides an interference resource scheduling optimization method and device based on target situation awareness, and belongs to the field of jammer resource scheduling. The method comprises the steps of carrying out the threat evaluation of a radiation source target characteristic parameter through employing an adaptive fuzzy inference neural network, and constructing a task sequence for carrying out interference on a radar radiation source target; coding a task sequence based on the bandwidth and array element number of interference resources, taking task execution time as an auction article, taking a to-be-scheduled interference task as an auction person, taking a target threat level priority principle and a remaining time maximization principle of the interference task as auction conditions, establishing an auction value function, and adopting a continuous auction method to obtain an interference event linked list; and based on the interference event linked list, performing interference array