The key problem that must be solved in space target monitoring is fast and accurate prediction of target trajectory. The target’s trajectory accurate prediction needs high precision initial value as the premise. Although filtering the target data can reduce the influence of random error and improve the accuracy of data

it is difficult to meet the requirements of high-precision trajectory prediction of space targets. In order or solve this problem

space targets precise tracking algorithm based on dynamic model is proposed

which makes full use of the motion characteristics of space target and establishes the state equation constrained by dynamic model. This algorithm can estimate the real time acceleration of space target by target dynamic model

and the acceleration constrained nonlinear function is turned into approximate linear function

by which the real-time estimation of acceleration and covariance feedback are used to improve the tracking accuracy of space targets. Then

the initial data of trajectory prediction with high accuracy can be obtained.