An aircraft target tracking algorithm based on event triggering is designed to estimate the aircraft motion state.Firstly,in order to solve the problem of bandwidth limitation,the measurement information of the sensors is sent to the local estimators only when the trigger condition of random events is met.Secondly,considering the influence of the event triggering mechanism on state updating and covariance updating of estimation errors,the local estimators adopt an improved Unscented Kalman Filter (UKF) algorithm to obtain local state estimation.In addition,the fast covariance intersection method is used to fuse the state estimation of local estimators,and the fused state estimation of the target is obtained.Finally,an example of aircraft target tracking is used for simulation,and the results show that the communication times are reduced by 17% when the algorithm achieves the estimation effect close to that of UKF algorithm.