A new adaptive target tracking algorithm is proposed based on adaptive constant accelaraion(ACA) model,
modified input estimation(MIE) and strong tracking filter. By extending ACA model state vector and improving adjusting
method of state noise covariance, the proposed algorithm can adjust the accelaration variance and the state-estimation error
covariance to the change of filtering residual thorough adaptively and timely under the support of MIE and strong tracking
filter. The proposed algorithm is able to track the state of mutation, low maneuver and non-maneuver accurately in real time
when lacking the information on the acceleration. The simulation shows that the proposed algorithm has better performance
than ACA model and MIE in scenarios of maneuver and non-maneuver.