The traditional IMM filtering algorithm with model of the same dimension has the problem of a relatively large error,and it is difficult for Current Statistical(CS) model to set reasonable parameters.To solve the problems,we proposed a variable dimension adaptive IMM algorithm(AIMM) for tracking a maneuvering target.The algorithm firstly makes dimension variation processing to make the model with unified dimension,which is applicable to common maneuvering target,and can reduce the model tracking error.After that,the function based on residual information is used to adjust the CS model parameters,to improve the match degree between the model and the actual motion model.Finally,the improved CS mode is fed back to the variable dimension IMM for increasing tracking performance.The simulation results show that:Compared with the traditional variable dimension IMM algorithm,the proposed algorithm has higher tracking accuracy while keeping effective tracking on maneuvering target.