Information gain maximization is not sufficient condition but only necessary condition when it is used to distribute the sensor resources.In order to let sufficient condition be satisfied

this paper presents a method based on combining target priority with information gain.Based on information gain obtained by interacting multiple model (IMM)

this method utilizes the method of partially order sets (POSET) to obtain the weights of different tasks such as detection

tracking and classifying.Sensor resources are reasonably distributed by combining information gain with the tasks' priority.Simulation results show that compared with the method of information gain maximization

this method is better when it is used to distribute finite sensor resources

and it is a practical method.