In actual target tracking process,the state and the type of target being tracked are uncertain.By using the state information and the feature information obtained respectively by kinematic sensor and attribute sensor,we obtained a joint state/type probabilistic density function for describing the uncertainty of target state and target type,and proved that the system model under the linear Gaussian assumptions is a Gaussian mixture model.Based on this property,a Gaussian mixture filter was introduced to implement maneuvering target tracking effectively.In simulation and analysis,the effectiveness of the tracking algorithm using Gaussian mixture filter was validated by comparing it with two other classic tracking algorithms.