This paper presents an algorithm of sensor management based on reweighted interacting multiple models kalman filtering(RIMMKF).In this algorithm

discrimination via

information gain is obtained by measurement update and Markov transform update of joint multi-target probability using RIMM

and then the sensor resource is distributed by maximizing information gain.In this algorithm

the deficiency of interacting multiple models (IMM) is improved by RIMM.Simulation results show that compared with the method of IMMKF discrimination

this algorithm is reasonable and the sensor resource is effectively distributed under the circumstance of dynamic multiple models.